Model save
Browse files- README.md +16 -18
- all_results.json +4 -4
- config.json +12 -9
- generation_config.json +9 -3
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- model.safetensors.index.json +292 -292
- special_tokens_map.json +3 -21
- tokenizer.json +0 -0
- tokenizer_config.json +2039 -22
- train_results.json +4 -4
- trainer_state.json +527 -527
- training_args.bin +1 -1
README.md
CHANGED
@@ -1,6 +1,4 @@
|
|
1 |
---
|
2 |
-
license: mit
|
3 |
-
base_model: HuggingFaceH4/mistral-7b-sft-beta
|
4 |
tags:
|
5 |
- trl
|
6 |
- dpo
|
@@ -15,17 +13,17 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# zephyr-7b-dpo-full
|
17 |
|
18 |
-
This model
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Rewards/chosen: -
|
22 |
-
- Rewards/rejected: -
|
23 |
-
- Rewards/accuracies: 0.
|
24 |
-
- Rewards/margins: 0.
|
25 |
-
- Logps/rejected: -
|
26 |
-
- Logps/chosen: -
|
27 |
-
- Logits/rejected:
|
28 |
-
- Logits/chosen:
|
29 |
|
30 |
## Model description
|
31 |
|
@@ -45,12 +43,12 @@ More information needed
|
|
45 |
|
46 |
The following hyperparameters were used during training:
|
47 |
- learning_rate: 5e-07
|
48 |
-
- train_batch_size:
|
49 |
- eval_batch_size: 8
|
50 |
- seed: 1
|
51 |
- distributed_type: multi-GPU
|
52 |
- num_devices: 8
|
53 |
-
- gradient_accumulation_steps:
|
54 |
- total_train_batch_size: 128
|
55 |
- total_eval_batch_size: 64
|
56 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
@@ -62,10 +60,10 @@ The following hyperparameters were used during training:
|
|
62 |
|
63 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
64 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
65 |
-
| 0.
|
66 |
-
| 0.
|
67 |
-
| 0.
|
68 |
-
| 0.
|
69 |
|
70 |
|
71 |
### Framework versions
|
|
|
1 |
---
|
|
|
|
|
2 |
tags:
|
3 |
- trl
|
4 |
- dpo
|
|
|
13 |
|
14 |
# zephyr-7b-dpo-full
|
15 |
|
16 |
+
This model was trained from scratch on the None dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 0.0515
|
19 |
+
- Rewards/chosen: -0.5698
|
20 |
+
- Rewards/rejected: -1.0751
|
21 |
+
- Rewards/accuracies: 0.7305
|
22 |
+
- Rewards/margins: 0.5053
|
23 |
+
- Logps/rejected: -473.2190
|
24 |
+
- Logps/chosen: -416.4288
|
25 |
+
- Logits/rejected: 0.8846
|
26 |
+
- Logits/chosen: 0.7434
|
27 |
|
28 |
## Model description
|
29 |
|
|
|
43 |
|
44 |
The following hyperparameters were used during training:
|
45 |
- learning_rate: 5e-07
|
46 |
+
- train_batch_size: 4
|
47 |
- eval_batch_size: 8
|
48 |
- seed: 1
|
49 |
- distributed_type: multi-GPU
|
50 |
- num_devices: 8
|
51 |
+
- gradient_accumulation_steps: 4
|
52 |
- total_train_batch_size: 128
|
53 |
- total_eval_batch_size: 64
|
54 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
|
60 |
|
61 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
62 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
63 |
+
| 0.0993 | 0.21 | 100 | 0.1018 | -0.0745 | -0.2470 | 0.6875 | 0.1725 | -390.4119 | -366.9025 | 0.5707 | 0.5130 |
|
64 |
+
| 0.0553 | 0.42 | 200 | 0.0540 | -0.5063 | -0.9361 | 0.7305 | 0.4298 | -459.3217 | -410.0835 | 0.8994 | 0.7755 |
|
65 |
+
| 0.0503 | 0.63 | 300 | 0.0531 | -0.5353 | -1.0266 | 0.7461 | 0.4913 | -468.3688 | -412.9813 | 0.8095 | 0.6691 |
|
66 |
+
| 0.0537 | 0.84 | 400 | 0.0515 | -0.5698 | -1.0751 | 0.7305 | 0.5053 | -473.2190 | -416.4288 | 0.8846 | 0.7434 |
|
67 |
|
68 |
|
69 |
### Framework versions
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 61134,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.06614070340397472,
|
4 |
+
"train_runtime": 4423.243,
|
5 |
"train_samples": 61134,
|
6 |
+
"train_samples_per_second": 13.821,
|
7 |
+
"train_steps_per_second": 0.108
|
8 |
}
|
config.json
CHANGED
@@ -1,25 +1,28 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "
|
3 |
"architectures": [
|
4 |
-
"
|
5 |
],
|
6 |
-
"
|
7 |
-
"
|
|
|
|
|
8 |
"hidden_act": "silu",
|
9 |
"hidden_size": 4096,
|
10 |
"initializer_range": 0.02,
|
11 |
"intermediate_size": 14336,
|
12 |
-
"max_position_embeddings":
|
13 |
-
"model_type": "
|
14 |
"num_attention_heads": 32,
|
15 |
"num_hidden_layers": 32,
|
16 |
"num_key_value_heads": 8,
|
|
|
17 |
"rms_norm_eps": 1e-05,
|
18 |
-
"
|
19 |
-
"
|
20 |
"tie_word_embeddings": false,
|
21 |
"torch_dtype": "bfloat16",
|
22 |
"transformers_version": "4.35.2",
|
23 |
"use_cache": false,
|
24 |
-
"vocab_size":
|
25 |
}
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "/share5/projects/llm/finetune-accelerate/weight/Meta-Llama-3-8B-Instruct",
|
3 |
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 128000,
|
9 |
+
"eos_token_id": 128009,
|
10 |
"hidden_act": "silu",
|
11 |
"hidden_size": 4096,
|
12 |
"initializer_range": 0.02,
|
13 |
"intermediate_size": 14336,
|
14 |
+
"max_position_embeddings": 8192,
|
15 |
+
"model_type": "llama",
|
16 |
"num_attention_heads": 32,
|
17 |
"num_hidden_layers": 32,
|
18 |
"num_key_value_heads": 8,
|
19 |
+
"pretraining_tp": 1,
|
20 |
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 500000.0,
|
23 |
"tie_word_embeddings": false,
|
24 |
"torch_dtype": "bfloat16",
|
25 |
"transformers_version": "4.35.2",
|
26 |
"use_cache": false,
|
27 |
+
"vocab_size": 128256
|
28 |
}
|
generation_config.json
CHANGED
@@ -1,6 +1,12 @@
|
|
1 |
{
|
2 |
-
"
|
3 |
-
"
|
4 |
-
"eos_token_id":
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
"transformers_version": "4.35.2"
|
6 |
}
|
|
|
1 |
{
|
2 |
+
"bos_token_id": 128000,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
128001,
|
6 |
+
128009
|
7 |
+
],
|
8 |
+
"max_length": 4096,
|
9 |
+
"temperature": 0.6,
|
10 |
+
"top_p": 0.9,
|
11 |
"transformers_version": "4.35.2"
|
12 |
}
|
model-00001-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4976698672
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:38ba70e65ee6495d6142328650a81a3d99c446c7c25f7e9f8cac187fba978d69
|
3 |
size 4976698672
|
model-00002-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4999802720
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dcdbaa7331284bffa3d618292207ea0cbbd9a63a92e4c00bf8ed4cbe607c5ed1
|
3 |
size 4999802720
|
model-00003-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4915916176
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b5d969644264ab3fae956f1eb2d4bbdaf36aee0e6a96ece71c7e40e540b1640
|
3 |
size 4915916176
|
model-00004-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1168138808
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f13c9d26d250a584eded5cc5f110f766404c41b7baee91a2cc86e8a147bda71c
|
3 |
size 1168138808
|
model.safetensors.index.json
CHANGED
@@ -1,298 +1,298 @@
|
|
1 |
{
|
2 |
"metadata": {
|
3 |
-
"total_size":
|
4 |
},
|
5 |
"weight_map": {
|
6 |
-
"lm_head.weight": "model-
|
7 |
-
"model.embed_tokens.weight": "model-00001-of-
|
8 |
-
"model.layers.0.input_layernorm.weight": "model-00001-of-
|
9 |
-
"model.layers.0.mlp.down_proj.weight": "model-00001-of-
|
10 |
-
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-
|
11 |
-
"model.layers.0.mlp.up_proj.weight": "model-00001-of-
|
12 |
-
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-
|
13 |
-
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-
|
14 |
-
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-
|
15 |
-
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-
|
16 |
-
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-
|
17 |
-
"model.layers.1.input_layernorm.weight": "model-00001-of-
|
18 |
-
"model.layers.1.mlp.down_proj.weight": "model-00001-of-
|
19 |
-
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-
|
20 |
-
"model.layers.1.mlp.up_proj.weight": "model-00001-of-
|
21 |
-
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-
|
22 |
-
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-
|
23 |
-
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-
|
24 |
-
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-
|
25 |
-
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-
|
26 |
-
"model.layers.10.input_layernorm.weight": "model-00002-of-
|
27 |
-
"model.layers.10.mlp.down_proj.weight": "model-00002-of-
|
28 |
-
"model.layers.10.mlp.gate_proj.weight": "model-
|
29 |
-
"model.layers.10.mlp.up_proj.weight": "model-
|
30 |
-
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-
|
31 |
-
"model.layers.10.self_attn.k_proj.weight": "model-
|
32 |
-
"model.layers.10.self_attn.o_proj.weight": "model-
|
33 |
-
"model.layers.10.self_attn.q_proj.weight": "model-
|
34 |
-
"model.layers.10.self_attn.v_proj.weight": "model-
|
35 |
-
"model.layers.11.input_layernorm.weight": "model-00002-of-
|
36 |
-
"model.layers.11.mlp.down_proj.weight": "model-00002-of-
|
37 |
-
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-
|
38 |
-
"model.layers.11.mlp.up_proj.weight": "model-00002-of-
|
39 |
-
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-
|
40 |
-
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-
|
41 |
-
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-
|
42 |
-
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-
|
43 |
-
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-
|
44 |
-
"model.layers.12.input_layernorm.weight": "model-00002-of-
|
45 |
-
"model.layers.12.mlp.down_proj.weight": "model-00002-of-
|
46 |
-
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-
|
47 |
-
"model.layers.12.mlp.up_proj.weight": "model-00002-of-
|
48 |
-
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-
|
49 |
-
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-
|
50 |
-
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-
|
51 |
-
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-
|
52 |
-
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-
|
53 |
-
"model.layers.13.input_layernorm.weight": "model-00002-of-
|
54 |
-
"model.layers.13.mlp.down_proj.weight": "model-00002-of-
|
55 |
-
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-
|
56 |
-
"model.layers.13.mlp.up_proj.weight": "model-00002-of-
|
57 |
-
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-
|
58 |
-
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-
|
59 |
-
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-
|
60 |
-
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-
|
61 |
-
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-
|
62 |
-
"model.layers.14.input_layernorm.weight": "model-00002-of-
|
63 |
-
"model.layers.14.mlp.down_proj.weight": "model-00002-of-
|
64 |
-
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-
|
65 |
-
"model.layers.14.mlp.up_proj.weight": "model-00002-of-
|
66 |
-
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-
|
67 |
-
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-
|
68 |
-
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-
|
69 |
-
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-
|
70 |
-
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-
|
71 |
-
"model.layers.15.input_layernorm.weight": "model-00002-of-
|
72 |
-
"model.layers.15.mlp.down_proj.weight": "model-00002-of-
|
73 |
-
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-
|
74 |
-
"model.layers.15.mlp.up_proj.weight": "model-00002-of-
|
75 |
-
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-
|
76 |
-
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-
|
77 |
-
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-
|
78 |
-
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-
|
79 |
-
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-
|
80 |
-
"model.layers.16.input_layernorm.weight": "model-00002-of-
|
81 |
-
"model.layers.16.mlp.down_proj.weight": "model-00002-of-
|
82 |
-
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-
|
83 |
-
"model.layers.16.mlp.up_proj.weight": "model-00002-of-
|
84 |
-
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-
|
85 |
-
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-
|
86 |
-
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-
|
87 |
-
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-
|
88 |
-
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-
|
89 |
-
"model.layers.17.input_layernorm.weight": "model-00002-of-
|
90 |
-
"model.layers.17.mlp.down_proj.weight": "model-00002-of-
|
91 |
-
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-
|
92 |
-
"model.layers.17.mlp.up_proj.weight": "model-00002-of-
|
93 |
-
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-
|
94 |
-
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-
|
95 |
-
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-
|
96 |
-
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-
|
97 |
-
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-
|
98 |
-
"model.layers.18.input_layernorm.weight": "model-00002-of-
|
99 |
-
"model.layers.18.mlp.down_proj.weight": "model-00002-of-
|
100 |
-
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-
|
101 |
-
"model.layers.18.mlp.up_proj.weight": "model-00002-of-
|
102 |
-
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-
|
103 |
-
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-
|
104 |
-
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-
|
105 |
-
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-
|
106 |
-
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-
|
107 |
-
"model.layers.19.input_layernorm.weight": "model-00002-of-
|
108 |
-
"model.layers.19.mlp.down_proj.weight": "model-00002-of-
|
109 |
-
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-
|
110 |
-
"model.layers.19.mlp.up_proj.weight": "model-00002-of-
|
111 |
-
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-
|
112 |
-
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-
|
113 |
-
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-
|
114 |
-
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-
|
115 |
-
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-
|
116 |
-
"model.layers.2.input_layernorm.weight": "model-00001-of-
|
117 |
-
"model.layers.2.mlp.down_proj.weight": "model-00001-of-
|
118 |
-
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-
|
119 |
-
"model.layers.2.mlp.up_proj.weight": "model-00001-of-
|
120 |
-
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-
|
121 |
-
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-
|
122 |
-
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-
|
123 |
-
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-
|
124 |
-
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-
|
125 |
-
"model.layers.20.input_layernorm.weight": "model-
|
126 |
-
"model.layers.20.mlp.down_proj.weight": "model-
|
127 |
-
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-
|
128 |
-
"model.layers.20.mlp.up_proj.weight": "model-
|
129 |
-
"model.layers.20.post_attention_layernorm.weight": "model-
|
130 |
-
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-
|
131 |
-
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-
|
132 |
-
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-
|
133 |
-
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-
|
134 |
-
"model.layers.21.input_layernorm.weight": "model-
|
135 |
-
"model.layers.21.mlp.down_proj.weight": "model-
|
136 |
-
"model.layers.21.mlp.gate_proj.weight": "model-
|
137 |
-
"model.layers.21.mlp.up_proj.weight": "model-
|
138 |
-
"model.layers.21.post_attention_layernorm.weight": "model-
|
139 |
-
"model.layers.21.self_attn.k_proj.weight": "model-
|
140 |
-
"model.layers.21.self_attn.o_proj.weight": "model-
|
141 |
-
"model.layers.21.self_attn.q_proj.weight": "model-
|
142 |
-
"model.layers.21.self_attn.v_proj.weight": "model-
|
143 |
-
"model.layers.22.input_layernorm.weight": "model-00003-of-
|
144 |
-
"model.layers.22.mlp.down_proj.weight": "model-00003-of-
|
145 |
-
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-
|
146 |
-
"model.layers.22.mlp.up_proj.weight": "model-00003-of-
|
147 |
-
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-
|
148 |
-
"model.layers.22.self_attn.k_proj.weight": "model-
|
149 |
-
"model.layers.22.self_attn.o_proj.weight": "model-
|
150 |
-
"model.layers.22.self_attn.q_proj.weight": "model-
|
151 |
-
"model.layers.22.self_attn.v_proj.weight": "model-
|
152 |
-
"model.layers.23.input_layernorm.weight": "model-00003-of-
|
153 |
-
"model.layers.23.mlp.down_proj.weight": "model-00003-of-
|
154 |
-
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-
|
155 |
-
"model.layers.23.mlp.up_proj.weight": "model-00003-of-
|
156 |
-
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-
|
157 |
-
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-
|
158 |
-
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-
|
159 |
-
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-
|
160 |
-
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-
|
161 |
-
"model.layers.24.input_layernorm.weight": "model-00003-of-
|
162 |
-
"model.layers.24.mlp.down_proj.weight": "model-00003-of-
|
163 |
-
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-
|
164 |
-
"model.layers.24.mlp.up_proj.weight": "model-00003-of-
|
165 |
-
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-
|
166 |
-
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-
|
167 |
-
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-
|
168 |
-
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-
|
169 |
-
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-
|
170 |
-
"model.layers.25.input_layernorm.weight": "model-00003-of-
|
171 |
-
"model.layers.25.mlp.down_proj.weight": "model-00003-of-
|
172 |
-
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-
|
173 |
-
"model.layers.25.mlp.up_proj.weight": "model-00003-of-
|
174 |
-
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-
|
175 |
-
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-
|
176 |
-
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-
|
177 |
-
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-
|
178 |
-
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-
|
179 |
-
"model.layers.26.input_layernorm.weight": "model-00003-of-
|
180 |
-
"model.layers.26.mlp.down_proj.weight": "model-00003-of-
|
181 |
-
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-
|
182 |
-
"model.layers.26.mlp.up_proj.weight": "model-00003-of-
|
183 |
-
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-
|
184 |
-
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-
|
185 |
-
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-
|
186 |
-
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-
|
187 |
-
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-
|
188 |
-
"model.layers.27.input_layernorm.weight": "model-00003-of-
|
189 |
-
"model.layers.27.mlp.down_proj.weight": "model-00003-of-
|
190 |
-
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-
|
191 |
-
"model.layers.27.mlp.up_proj.weight": "model-00003-of-
|
192 |
-
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-
|
193 |
-
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-
|
194 |
-
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-
|
195 |
-
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-
|
196 |
-
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-
|
197 |
-
"model.layers.28.input_layernorm.weight": "model-00003-of-
|
198 |
-
"model.layers.28.mlp.down_proj.weight": "model-00003-of-
|
199 |
-
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-
|
200 |
-
"model.layers.28.mlp.up_proj.weight": "model-00003-of-
|
201 |
-
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-
|
202 |
-
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-
|
203 |
-
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-
|
204 |
-
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-
|
205 |
-
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-
|
206 |
-
"model.layers.29.input_layernorm.weight": "model-00003-of-
|
207 |
-
"model.layers.29.mlp.down_proj.weight": "model-00003-of-
|
208 |
-
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-
|
209 |
-
"model.layers.29.mlp.up_proj.weight": "model-00003-of-
|
210 |
-
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-
|
211 |
-
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-
|
212 |
-
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-
|
213 |
-
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-
|
214 |
-
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-
|
215 |
-
"model.layers.3.input_layernorm.weight": "model-00001-of-
|
216 |
-
"model.layers.3.mlp.down_proj.weight": "model-00001-of-
|
217 |
-
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-
|
218 |
-
"model.layers.3.mlp.up_proj.weight": "model-00001-of-
|
219 |
-
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-
|
220 |
-
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-
|
221 |
-
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-
|
222 |
-
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-
|
223 |
-
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-
|
224 |
-
"model.layers.30.input_layernorm.weight": "model-00003-of-
|
225 |
-
"model.layers.30.mlp.down_proj.weight": "model-00003-of-
|
226 |
-
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-
|
227 |
-
"model.layers.30.mlp.up_proj.weight": "model-00003-of-
|
228 |
-
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-
|
229 |
-
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-
|
230 |
-
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-
|
231 |
-
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-
|
232 |
-
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-
|
233 |
-
"model.layers.31.input_layernorm.weight": "model-
|
234 |
-
"model.layers.31.mlp.down_proj.weight": "model-
|
235 |
-
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-
|
236 |
-
"model.layers.31.mlp.up_proj.weight": "model-00003-of-
|
237 |
-
"model.layers.31.post_attention_layernorm.weight": "model-
|
238 |
-
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-
|
239 |
-
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-
|
240 |
-
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-
|
241 |
-
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-
|
242 |
-
"model.layers.4.input_layernorm.weight": "model-00001-of-
|
243 |
-
"model.layers.4.mlp.down_proj.weight": "model-00001-of-
|
244 |
-
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-
|
245 |
-
"model.layers.4.mlp.up_proj.weight": "model-00001-of-
|
246 |
-
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-
|
247 |
-
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-
|
248 |
-
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-
|
249 |
-
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-
|
250 |
-
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-
|
251 |
-
"model.layers.5.input_layernorm.weight": "model-00001-of-
|
252 |
-
"model.layers.5.mlp.down_proj.weight": "model-00001-of-
|
253 |
-
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-
|
254 |
-
"model.layers.5.mlp.up_proj.weight": "model-00001-of-
|
255 |
-
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-
|
256 |
-
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-
|
257 |
-
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-
|
258 |
-
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-
|
259 |
-
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-
|
260 |
-
"model.layers.6.input_layernorm.weight": "model-00001-of-
|
261 |
-
"model.layers.6.mlp.down_proj.weight": "model-00001-of-
|
262 |
-
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-
|
263 |
-
"model.layers.6.mlp.up_proj.weight": "model-00001-of-
|
264 |
-
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-
|
265 |
-
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-
|
266 |
-
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-
|
267 |
-
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-
|
268 |
-
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-
|
269 |
-
"model.layers.7.input_layernorm.weight": "model-00001-of-
|
270 |
-
"model.layers.7.mlp.down_proj.weight": "model-00001-of-
|
271 |
-
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-
|
272 |
-
"model.layers.7.mlp.up_proj.weight": "model-00001-of-
|
273 |
-
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-
|
274 |
-
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-
|
275 |
-
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-
|
276 |
-
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-
|
277 |
-
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-
|
278 |
-
"model.layers.8.input_layernorm.weight": "model-00001-of-
|
279 |
-
"model.layers.8.mlp.down_proj.weight": "model-00001-of-
|
280 |
-
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-
|
281 |
-
"model.layers.8.mlp.up_proj.weight": "model-00001-of-
|
282 |
-
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-
|
283 |
-
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-
|
284 |
-
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-
|
285 |
-
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-
|
286 |
-
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-
|
287 |
-
"model.layers.9.input_layernorm.weight": "model-
|
288 |
-
"model.layers.9.mlp.down_proj.weight": "model-
|
289 |
-
"model.layers.9.mlp.gate_proj.weight": "model-
|
290 |
-
"model.layers.9.mlp.up_proj.weight": "model-
|
291 |
-
"model.layers.9.post_attention_layernorm.weight": "model-
|
292 |
-
"model.layers.9.self_attn.k_proj.weight": "model-
|
293 |
-
"model.layers.9.self_attn.o_proj.weight": "model-
|
294 |
-
"model.layers.9.self_attn.q_proj.weight": "model-
|
295 |
-
"model.layers.9.self_attn.v_proj.weight": "model-
|
296 |
-
"model.norm.weight": "model-
|
297 |
}
|
298 |
}
|
|
|
1 |
{
|
2 |
"metadata": {
|
3 |
+
"total_size": 16060522496
|
4 |
},
|
5 |
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
296 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
297 |
}
|
298 |
}
|
special_tokens_map.json
CHANGED
@@ -1,35 +1,17 @@
|
|
1 |
{
|
2 |
-
"additional_special_tokens": [
|
3 |
-
"<unk>",
|
4 |
-
"<s>",
|
5 |
-
"</s>"
|
6 |
-
],
|
7 |
"bos_token": {
|
8 |
-
"content": "
|
9 |
"lstrip": false,
|
10 |
"normalized": false,
|
11 |
"rstrip": false,
|
12 |
"single_word": false
|
13 |
},
|
14 |
"eos_token": {
|
15 |
-
"content": "
|
16 |
"lstrip": false,
|
17 |
"normalized": false,
|
18 |
"rstrip": false,
|
19 |
"single_word": false
|
20 |
},
|
21 |
-
"pad_token":
|
22 |
-
"content": "</s>",
|
23 |
-
"lstrip": false,
|
24 |
-
"normalized": false,
|
25 |
-
"rstrip": false,
|
26 |
-
"single_word": false
|
27 |
-
},
|
28 |
-
"unk_token": {
|
29 |
-
"content": "<unk>",
|
30 |
-
"lstrip": false,
|
31 |
-
"normalized": false,
|
32 |
-
"rstrip": false,
|
33 |
-
"single_word": false
|
34 |
-
}
|
35 |
}
|
|
|
1 |
{
|
|
|
|
|
|
|
|
|
|
|
2 |
"bos_token": {
|
3 |
+
"content": "<|begin_of_text|>",
|
4 |
"lstrip": false,
|
5 |
"normalized": false,
|
6 |
"rstrip": false,
|
7 |
"single_word": false
|
8 |
},
|
9 |
"eos_token": {
|
10 |
+
"content": "<|eot_id|>",
|
11 |
"lstrip": false,
|
12 |
"normalized": false,
|
13 |
"rstrip": false,
|
14 |
"single_word": false
|
15 |
},
|
16 |
+
"pad_token": "<|eot_id|>"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
17 |
}
|
tokenizer.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
CHANGED
@@ -1,23 +1,2047 @@
|
|
1 |
{
|
2 |
"added_tokens_decoder": {
|
3 |
-
"
|
4 |
-
"content": "
|
5 |
"lstrip": false,
|
6 |
"normalized": false,
|
7 |
"rstrip": false,
|
8 |
"single_word": false,
|
9 |
"special": true
|
10 |
},
|
11 |
-
"
|
12 |
-
"content": "
|
13 |
"lstrip": false,
|
14 |
"normalized": false,
|
15 |
"rstrip": false,
|
16 |
"single_word": false,
|
17 |
"special": true
|
18 |
},
|
19 |
-
"
|
20 |
-
"content": "
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
21 |
"lstrip": false,
|
22 |
"normalized": false,
|
23 |
"rstrip": false,
|
@@ -25,22 +2049,15 @@
|
|
25 |
"special": true
|
26 |
}
|
27 |
},
|
28 |
-
"
|
29 |
-
|
30 |
-
|
31 |
-
|
|
|
|
|
|
|
32 |
],
|
33 |
-
"bos_token": "<s>",
|
34 |
-
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
35 |
-
"clean_up_tokenization_spaces": false,
|
36 |
-
"eos_token": "</s>",
|
37 |
-
"legacy": true,
|
38 |
"model_max_length": 2048,
|
39 |
-
"pad_token": "
|
40 |
-
"
|
41 |
-
"spaces_between_special_tokens": false,
|
42 |
-
"tokenizer_class": "LlamaTokenizer",
|
43 |
-
"truncation_side": "left",
|
44 |
-
"unk_token": "<unk>",
|
45 |
-
"use_default_system_prompt": true
|
46 |
}
|
|
|
1 |
{
|
2 |
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
"content": "<|begin_of_text|>",
|
5 |
"lstrip": false,
|
6 |
"normalized": false,
|
7 |
"rstrip": false,
|
8 |
"single_word": false,
|
9 |
"special": true
|
10 |
},
|
11 |
+
"128001": {
|
12 |
+
"content": "<|end_of_text|>",
|
13 |
"lstrip": false,
|
14 |
"normalized": false,
|
15 |
"rstrip": false,
|
16 |
"single_word": false,
|
17 |
"special": true
|
18 |
},
|
19 |
+
"128002": {
|
20 |
+
"content": "<|reserved_special_token_0|>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"128003": {
|
28 |
+
"content": "<|reserved_special_token_1|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128004": {
|
36 |
+
"content": "<|reserved_special_token_2|>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"128005": {
|
44 |
+
"content": "<|reserved_special_token_3|>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"128006": {
|
52 |
+
"content": "<|start_header_id|>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"128007": {
|
60 |
+
"content": "<|end_header_id|>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"128008": {
|
68 |
+
"content": "<|reserved_special_token_4|>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"128009": {
|
76 |
+
"content": "<|eot_id|>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"128010": {
|
84 |
+
"content": "<|reserved_special_token_5|>",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
},
|
91 |
+
"128011": {
|
92 |
+
"content": "<|reserved_special_token_6|>",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": false,
|
96 |
+
"single_word": false,
|
97 |
+
"special": true
|
98 |
+
},
|
99 |
+
"128012": {
|
100 |
+
"content": "<|reserved_special_token_7|>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
+
"128013": {
|
108 |
+
"content": "<|reserved_special_token_8|>",
|
109 |
+
"lstrip": false,
|
110 |
+
"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
+
"128014": {
|
116 |
+
"content": "<|reserved_special_token_9|>",
|
117 |
+
"lstrip": false,
|
118 |
+
"normalized": false,
|
119 |
+
"rstrip": false,
|
120 |
+
"single_word": false,
|
121 |
+
"special": true
|
122 |
+
},
|
123 |
+
"128015": {
|
124 |
+
"content": "<|reserved_special_token_10|>",
|
125 |
+
"lstrip": false,
|
126 |
+
"normalized": false,
|
127 |
+
"rstrip": false,
|
128 |
+
"single_word": false,
|
129 |
+
"special": true
|
130 |
+
},
|
131 |
+
"128016": {
|
132 |
+
"content": "<|reserved_special_token_11|>",
|
133 |
+
"lstrip": false,
|
134 |
+
"normalized": false,
|
135 |
+
"rstrip": false,
|
136 |
+
"single_word": false,
|
137 |
+
"special": true
|
138 |
+
},
|
139 |
+
"128017": {
|
140 |
+
"content": "<|reserved_special_token_12|>",
|
141 |
+
"lstrip": false,
|
142 |
+
"normalized": false,
|
143 |
+
"rstrip": false,
|
144 |
+
"single_word": false,
|
145 |
+
"special": true
|
146 |
+
},
|
147 |
+
"128018": {
|
148 |
+
"content": "<|reserved_special_token_13|>",
|
149 |
+
"lstrip": false,
|
150 |
+
"normalized": false,
|
151 |
+
"rstrip": false,
|
152 |
+
"single_word": false,
|
153 |
+
"special": true
|
154 |
+
},
|
155 |
+
"128019": {
|
156 |
+
"content": "<|reserved_special_token_14|>",
|
157 |
+
"lstrip": false,
|
158 |
+
"normalized": false,
|
159 |
+
"rstrip": false,
|
160 |
+
"single_word": false,
|
161 |
+
"special": true
|
162 |
+
},
|
163 |
+
"128020": {
|
164 |
+
"content": "<|reserved_special_token_15|>",
|
165 |
+
"lstrip": false,
|
166 |
+
"normalized": false,
|
167 |
+
"rstrip": false,
|
168 |
+
"single_word": false,
|
169 |
+
"special": true
|
170 |
+
},
|
171 |
+
"128021": {
|
172 |
+
"content": "<|reserved_special_token_16|>",
|
173 |
+
"lstrip": false,
|
174 |
+
"normalized": false,
|
175 |
+
"rstrip": false,
|
176 |
+
"single_word": false,
|
177 |
+
"special": true
|
178 |
+
},
|
179 |
+
"128022": {
|
180 |
+
"content": "<|reserved_special_token_17|>",
|
181 |
+
"lstrip": false,
|
182 |
+
"normalized": false,
|
183 |
+
"rstrip": false,
|
184 |
+
"single_word": false,
|
185 |
+
"special": true
|
186 |
+
},
|
187 |
+
"128023": {
|
188 |
+
"content": "<|reserved_special_token_18|>",
|
189 |
+
"lstrip": false,
|
190 |
+
"normalized": false,
|
191 |
+
"rstrip": false,
|
192 |
+
"single_word": false,
|
193 |
+
"special": true
|
194 |
+
},
|
195 |
+
"128024": {
|
196 |
+
"content": "<|reserved_special_token_19|>",
|
197 |
+
"lstrip": false,
|
198 |
+
"normalized": false,
|
199 |
+
"rstrip": false,
|
200 |
+
"single_word": false,
|
201 |
+
"special": true
|
202 |
+
},
|
203 |
+
"128025": {
|
204 |
+
"content": "<|reserved_special_token_20|>",
|
205 |
+
"lstrip": false,
|
206 |
+
"normalized": false,
|
207 |
+
"rstrip": false,
|
208 |
+
"single_word": false,
|
209 |
+
"special": true
|
210 |
+
},
|
211 |
+
"128026": {
|
212 |
+
"content": "<|reserved_special_token_21|>",
|
213 |
+
"lstrip": false,
|
214 |
+
"normalized": false,
|
215 |
+
"rstrip": false,
|
216 |
+
"single_word": false,
|
217 |
+
"special": true
|
218 |
+
},
|
219 |
+
"128027": {
|
220 |
+
"content": "<|reserved_special_token_22|>",
|
221 |
+
"lstrip": false,
|
222 |
+
"normalized": false,
|
223 |
+
"rstrip": false,
|
224 |
+
"single_word": false,
|
225 |
+
"special": true
|
226 |
+
},
|
227 |
+
"128028": {
|
228 |
+
"content": "<|reserved_special_token_23|>",
|
229 |
+
"lstrip": false,
|
230 |
+
"normalized": false,
|
231 |
+
"rstrip": false,
|
232 |
+
"single_word": false,
|
233 |
+
"special": true
|
234 |
+
},
|
235 |
+
"128029": {
|
236 |
+
"content": "<|reserved_special_token_24|>",
|
237 |
+
"lstrip": false,
|
238 |
+
"normalized": false,
|
239 |
+
"rstrip": false,
|
240 |
+
"single_word": false,
|
241 |
+
"special": true
|
242 |
+
},
|
243 |
+
"128030": {
|
244 |
+
"content": "<|reserved_special_token_25|>",
|
245 |
+
"lstrip": false,
|
246 |
+
"normalized": false,
|
247 |
+
"rstrip": false,
|
248 |
+
"single_word": false,
|
249 |
+
"special": true
|
250 |
+
},
|
251 |
+
"128031": {
|
252 |
+
"content": "<|reserved_special_token_26|>",
|
253 |
+
"lstrip": false,
|
254 |
+
"normalized": false,
|
255 |
+
"rstrip": false,
|
256 |
+
"single_word": false,
|
257 |
+
"special": true
|
258 |
+
},
|
259 |
+
"128032": {
|
260 |
+
"content": "<|reserved_special_token_27|>",
|
261 |
+
"lstrip": false,
|
262 |
+
"normalized": false,
|
263 |
+
"rstrip": false,
|
264 |
+
"single_word": false,
|
265 |
+
"special": true
|
266 |
+
},
|
267 |
+
"128033": {
|
268 |
+
"content": "<|reserved_special_token_28|>",
|
269 |
+
"lstrip": false,
|
270 |
+
"normalized": false,
|
271 |
+
"rstrip": false,
|
272 |
+
"single_word": false,
|
273 |
+
"special": true
|
274 |
+
},
|
275 |
+
"128034": {
|
276 |
+
"content": "<|reserved_special_token_29|>",
|
277 |
+
"lstrip": false,
|
278 |
+
"normalized": false,
|
279 |
+
"rstrip": false,
|
280 |
+
"single_word": false,
|
281 |
+
"special": true
|
282 |
+
},
|
283 |
+
"128035": {
|
284 |
+
"content": "<|reserved_special_token_30|>",
|
285 |
+
"lstrip": false,
|
286 |
+
"normalized": false,
|
287 |
+
"rstrip": false,
|
288 |
+
"single_word": false,
|
289 |
+
"special": true
|
290 |
+
},
|
291 |
+
"128036": {
|
292 |
+
"content": "<|reserved_special_token_31|>",
|
293 |
+
"lstrip": false,
|
294 |
+
"normalized": false,
|
295 |
+
"rstrip": false,
|
296 |
+
"single_word": false,
|
297 |
+
"special": true
|
298 |
+
},
|
299 |
+
"128037": {
|
300 |
+
"content": "<|reserved_special_token_32|>",
|
301 |
+
"lstrip": false,
|
302 |
+
"normalized": false,
|
303 |
+
"rstrip": false,
|
304 |
+
"single_word": false,
|
305 |
+
"special": true
|
306 |
+
},
|
307 |
+
"128038": {
|
308 |
+
"content": "<|reserved_special_token_33|>",
|
309 |
+
"lstrip": false,
|
310 |
+
"normalized": false,
|
311 |
+
"rstrip": false,
|
312 |
+
"single_word": false,
|
313 |
+
"special": true
|
314 |
+
},
|
315 |
+
"128039": {
|
316 |
+
"content": "<|reserved_special_token_34|>",
|
317 |
+
"lstrip": false,
|
318 |
+
"normalized": false,
|
319 |
+
"rstrip": false,
|
320 |
+
"single_word": false,
|
321 |
+
"special": true
|
322 |
+
},
|
323 |
+
"128040": {
|
324 |
+
"content": "<|reserved_special_token_35|>",
|
325 |
+
"lstrip": false,
|
326 |
+
"normalized": false,
|
327 |
+
"rstrip": false,
|
328 |
+
"single_word": false,
|
329 |
+
"special": true
|
330 |
+
},
|
331 |
+
"128041": {
|
332 |
+
"content": "<|reserved_special_token_36|>",
|
333 |
+
"lstrip": false,
|
334 |
+
"normalized": false,
|
335 |
+
"rstrip": false,
|
336 |
+
"single_word": false,
|
337 |
+
"special": true
|
338 |
+
},
|
339 |
+
"128042": {
|
340 |
+
"content": "<|reserved_special_token_37|>",
|
341 |
+
"lstrip": false,
|
342 |
+
"normalized": false,
|
343 |
+
"rstrip": false,
|
344 |
+
"single_word": false,
|
345 |
+
"special": true
|
346 |
+
},
|
347 |
+
"128043": {
|
348 |
+
"content": "<|reserved_special_token_38|>",
|
349 |
+
"lstrip": false,
|
350 |
+
"normalized": false,
|
351 |
+
"rstrip": false,
|
352 |
+
"single_word": false,
|
353 |
+
"special": true
|
354 |
+
},
|
355 |
+
"128044": {
|
356 |
+
"content": "<|reserved_special_token_39|>",
|
357 |
+
"lstrip": false,
|
358 |
+
"normalized": false,
|
359 |
+
"rstrip": false,
|
360 |
+
"single_word": false,
|
361 |
+
"special": true
|
362 |
+
},
|
363 |
+
"128045": {
|
364 |
+
"content": "<|reserved_special_token_40|>",
|
365 |
+
"lstrip": false,
|
366 |
+
"normalized": false,
|
367 |
+
"rstrip": false,
|
368 |
+
"single_word": false,
|
369 |
+
"special": true
|
370 |
+
},
|
371 |
+
"128046": {
|
372 |
+
"content": "<|reserved_special_token_41|>",
|
373 |
+
"lstrip": false,
|
374 |
+
"normalized": false,
|
375 |
+
"rstrip": false,
|
376 |
+
"single_word": false,
|
377 |
+
"special": true
|
378 |
+
},
|
379 |
+
"128047": {
|
380 |
+
"content": "<|reserved_special_token_42|>",
|
381 |
+
"lstrip": false,
|
382 |
+
"normalized": false,
|
383 |
+
"rstrip": false,
|
384 |
+
"single_word": false,
|
385 |
+
"special": true
|
386 |
+
},
|
387 |
+
"128048": {
|
388 |
+
"content": "<|reserved_special_token_43|>",
|
389 |
+
"lstrip": false,
|
390 |
+
"normalized": false,
|
391 |
+
"rstrip": false,
|
392 |
+
"single_word": false,
|
393 |
+
"special": true
|
394 |
+
},
|
395 |
+
"128049": {
|
396 |
+
"content": "<|reserved_special_token_44|>",
|
397 |
+
"lstrip": false,
|
398 |
+
"normalized": false,
|
399 |
+
"rstrip": false,
|
400 |
+
"single_word": false,
|
401 |
+
"special": true
|
402 |
+
},
|
403 |
+
"128050": {
|
404 |
+
"content": "<|reserved_special_token_45|>",
|
405 |
+
"lstrip": false,
|
406 |
+
"normalized": false,
|
407 |
+
"rstrip": false,
|
408 |
+
"single_word": false,
|
409 |
+
"special": true
|
410 |
+
},
|
411 |
+
"128051": {
|
412 |
+
"content": "<|reserved_special_token_46|>",
|
413 |
+
"lstrip": false,
|
414 |
+
"normalized": false,
|
415 |
+
"rstrip": false,
|
416 |
+
"single_word": false,
|
417 |
+
"special": true
|
418 |
+
},
|
419 |
+
"128052": {
|
420 |
+
"content": "<|reserved_special_token_47|>",
|
421 |
+
"lstrip": false,
|
422 |
+
"normalized": false,
|
423 |
+
"rstrip": false,
|
424 |
+
"single_word": false,
|
425 |
+
"special": true
|
426 |
+
},
|
427 |
+
"128053": {
|
428 |
+
"content": "<|reserved_special_token_48|>",
|
429 |
+
"lstrip": false,
|
430 |
+
"normalized": false,
|
431 |
+
"rstrip": false,
|
432 |
+
"single_word": false,
|
433 |
+
"special": true
|
434 |
+
},
|
435 |
+
"128054": {
|
436 |
+
"content": "<|reserved_special_token_49|>",
|
437 |
+
"lstrip": false,
|
438 |
+
"normalized": false,
|
439 |
+
"rstrip": false,
|
440 |
+
"single_word": false,
|
441 |
+
"special": true
|
442 |
+
},
|
443 |
+
"128055": {
|
444 |
+
"content": "<|reserved_special_token_50|>",
|
445 |
+
"lstrip": false,
|
446 |
+
"normalized": false,
|
447 |
+
"rstrip": false,
|
448 |
+
"single_word": false,
|
449 |
+
"special": true
|
450 |
+
},
|
451 |
+
"128056": {
|
452 |
+
"content": "<|reserved_special_token_51|>",
|
453 |
+
"lstrip": false,
|
454 |
+
"normalized": false,
|
455 |
+
"rstrip": false,
|
456 |
+
"single_word": false,
|
457 |
+
"special": true
|
458 |
+
},
|
459 |
+
"128057": {
|
460 |
+
"content": "<|reserved_special_token_52|>",
|
461 |
+
"lstrip": false,
|
462 |
+
"normalized": false,
|
463 |
+
"rstrip": false,
|
464 |
+
"single_word": false,
|
465 |
+
"special": true
|
466 |
+
},
|
467 |
+
"128058": {
|
468 |
+
"content": "<|reserved_special_token_53|>",
|
469 |
+
"lstrip": false,
|
470 |
+
"normalized": false,
|
471 |
+
"rstrip": false,
|
472 |
+
"single_word": false,
|
473 |
+
"special": true
|
474 |
+
},
|
475 |
+
"128059": {
|
476 |
+
"content": "<|reserved_special_token_54|>",
|
477 |
+
"lstrip": false,
|
478 |
+
"normalized": false,
|
479 |
+
"rstrip": false,
|
480 |
+
"single_word": false,
|
481 |
+
"special": true
|
482 |
+
},
|
483 |
+
"128060": {
|
484 |
+
"content": "<|reserved_special_token_55|>",
|
485 |
+
"lstrip": false,
|
486 |
+
"normalized": false,
|
487 |
+
"rstrip": false,
|
488 |
+
"single_word": false,
|
489 |
+
"special": true
|
490 |
+
},
|
491 |
+
"128061": {
|
492 |
+
"content": "<|reserved_special_token_56|>",
|
493 |
+
"lstrip": false,
|
494 |
+
"normalized": false,
|
495 |
+
"rstrip": false,
|
496 |
+
"single_word": false,
|
497 |
+
"special": true
|
498 |
+
},
|
499 |
+
"128062": {
|
500 |
+
"content": "<|reserved_special_token_57|>",
|
501 |
+
"lstrip": false,
|
502 |
+
"normalized": false,
|
503 |
+
"rstrip": false,
|
504 |
+
"single_word": false,
|
505 |
+
"special": true
|
506 |
+
},
|
507 |
+
"128063": {
|
508 |
+
"content": "<|reserved_special_token_58|>",
|
509 |
+
"lstrip": false,
|
510 |
+
"normalized": false,
|
511 |
+
"rstrip": false,
|
512 |
+
"single_word": false,
|
513 |
+
"special": true
|
514 |
+
},
|
515 |
+
"128064": {
|
516 |
+
"content": "<|reserved_special_token_59|>",
|
517 |
+
"lstrip": false,
|
518 |
+
"normalized": false,
|
519 |
+
"rstrip": false,
|
520 |
+
"single_word": false,
|
521 |
+
"special": true
|
522 |
+
},
|
523 |
+
"128065": {
|
524 |
+
"content": "<|reserved_special_token_60|>",
|
525 |
+
"lstrip": false,
|
526 |
+
"normalized": false,
|
527 |
+
"rstrip": false,
|
528 |
+
"single_word": false,
|
529 |
+
"special": true
|
530 |
+
},
|
531 |
+
"128066": {
|
532 |
+
"content": "<|reserved_special_token_61|>",
|
533 |
+
"lstrip": false,
|
534 |
+
"normalized": false,
|
535 |
+
"rstrip": false,
|
536 |
+
"single_word": false,
|
537 |
+
"special": true
|
538 |
+
},
|
539 |
+
"128067": {
|
540 |
+
"content": "<|reserved_special_token_62|>",
|
541 |
+
"lstrip": false,
|
542 |
+
"normalized": false,
|
543 |
+
"rstrip": false,
|
544 |
+
"single_word": false,
|
545 |
+
"special": true
|
546 |
+
},
|
547 |
+
"128068": {
|
548 |
+
"content": "<|reserved_special_token_63|>",
|
549 |
+
"lstrip": false,
|
550 |
+
"normalized": false,
|
551 |
+
"rstrip": false,
|
552 |
+
"single_word": false,
|
553 |
+
"special": true
|
554 |
+
},
|
555 |
+
"128069": {
|
556 |
+
"content": "<|reserved_special_token_64|>",
|
557 |
+
"lstrip": false,
|
558 |
+
"normalized": false,
|
559 |
+
"rstrip": false,
|
560 |
+
"single_word": false,
|
561 |
+
"special": true
|
562 |
+
},
|
563 |
+
"128070": {
|
564 |
+
"content": "<|reserved_special_token_65|>",
|
565 |
+
"lstrip": false,
|
566 |
+
"normalized": false,
|
567 |
+
"rstrip": false,
|
568 |
+
"single_word": false,
|
569 |
+
"special": true
|
570 |
+
},
|
571 |
+
"128071": {
|
572 |
+
"content": "<|reserved_special_token_66|>",
|
573 |
+
"lstrip": false,
|
574 |
+
"normalized": false,
|
575 |
+
"rstrip": false,
|
576 |
+
"single_word": false,
|
577 |
+
"special": true
|
578 |
+
},
|
579 |
+
"128072": {
|
580 |
+
"content": "<|reserved_special_token_67|>",
|
581 |
+
"lstrip": false,
|
582 |
+
"normalized": false,
|
583 |
+
"rstrip": false,
|
584 |
+
"single_word": false,
|
585 |
+
"special": true
|
586 |
+
},
|
587 |
+
"128073": {
|
588 |
+
"content": "<|reserved_special_token_68|>",
|
589 |
+
"lstrip": false,
|
590 |
+
"normalized": false,
|
591 |
+
"rstrip": false,
|
592 |
+
"single_word": false,
|
593 |
+
"special": true
|
594 |
+
},
|
595 |
+
"128074": {
|
596 |
+
"content": "<|reserved_special_token_69|>",
|
597 |
+
"lstrip": false,
|
598 |
+
"normalized": false,
|
599 |
+
"rstrip": false,
|
600 |
+
"single_word": false,
|
601 |
+
"special": true
|
602 |
+
},
|
603 |
+
"128075": {
|
604 |
+
"content": "<|reserved_special_token_70|>",
|
605 |
+
"lstrip": false,
|
606 |
+
"normalized": false,
|
607 |
+
"rstrip": false,
|
608 |
+
"single_word": false,
|
609 |
+
"special": true
|
610 |
+
},
|
611 |
+
"128076": {
|
612 |
+
"content": "<|reserved_special_token_71|>",
|
613 |
+
"lstrip": false,
|
614 |
+
"normalized": false,
|
615 |
+
"rstrip": false,
|
616 |
+
"single_word": false,
|
617 |
+
"special": true
|
618 |
+
},
|
619 |
+
"128077": {
|
620 |
+
"content": "<|reserved_special_token_72|>",
|
621 |
+
"lstrip": false,
|
622 |
+
"normalized": false,
|
623 |
+
"rstrip": false,
|
624 |
+
"single_word": false,
|
625 |
+
"special": true
|
626 |
+
},
|
627 |
+
"128078": {
|
628 |
+
"content": "<|reserved_special_token_73|>",
|
629 |
+
"lstrip": false,
|
630 |
+
"normalized": false,
|
631 |
+
"rstrip": false,
|
632 |
+
"single_word": false,
|
633 |
+
"special": true
|
634 |
+
},
|
635 |
+
"128079": {
|
636 |
+
"content": "<|reserved_special_token_74|>",
|
637 |
+
"lstrip": false,
|
638 |
+
"normalized": false,
|
639 |
+
"rstrip": false,
|
640 |
+
"single_word": false,
|
641 |
+
"special": true
|
642 |
+
},
|
643 |
+
"128080": {
|
644 |
+
"content": "<|reserved_special_token_75|>",
|
645 |
+
"lstrip": false,
|
646 |
+
"normalized": false,
|
647 |
+
"rstrip": false,
|
648 |
+
"single_word": false,
|
649 |
+
"special": true
|
650 |
+
},
|
651 |
+
"128081": {
|
652 |
+
"content": "<|reserved_special_token_76|>",
|
653 |
+
"lstrip": false,
|
654 |
+
"normalized": false,
|
655 |
+
"rstrip": false,
|
656 |
+
"single_word": false,
|
657 |
+
"special": true
|
658 |
+
},
|
659 |
+
"128082": {
|
660 |
+
"content": "<|reserved_special_token_77|>",
|
661 |
+
"lstrip": false,
|
662 |
+
"normalized": false,
|
663 |
+
"rstrip": false,
|
664 |
+
"single_word": false,
|
665 |
+
"special": true
|
666 |
+
},
|
667 |
+
"128083": {
|
668 |
+
"content": "<|reserved_special_token_78|>",
|
669 |
+
"lstrip": false,
|
670 |
+
"normalized": false,
|
671 |
+
"rstrip": false,
|
672 |
+
"single_word": false,
|
673 |
+
"special": true
|
674 |
+
},
|
675 |
+
"128084": {
|
676 |
+
"content": "<|reserved_special_token_79|>",
|
677 |
+
"lstrip": false,
|
678 |
+
"normalized": false,
|
679 |
+
"rstrip": false,
|
680 |
+
"single_word": false,
|
681 |
+
"special": true
|
682 |
+
},
|
683 |
+
"128085": {
|
684 |
+
"content": "<|reserved_special_token_80|>",
|
685 |
+
"lstrip": false,
|
686 |
+
"normalized": false,
|
687 |
+
"rstrip": false,
|
688 |
+
"single_word": false,
|
689 |
+
"special": true
|
690 |
+
},
|
691 |
+
"128086": {
|
692 |
+
"content": "<|reserved_special_token_81|>",
|
693 |
+
"lstrip": false,
|
694 |
+
"normalized": false,
|
695 |
+
"rstrip": false,
|
696 |
+
"single_word": false,
|
697 |
+
"special": true
|
698 |
+
},
|
699 |
+
"128087": {
|
700 |
+
"content": "<|reserved_special_token_82|>",
|
701 |
+
"lstrip": false,
|
702 |
+
"normalized": false,
|
703 |
+
"rstrip": false,
|
704 |
+
"single_word": false,
|
705 |
+
"special": true
|
706 |
+
},
|
707 |
+
"128088": {
|
708 |
+
"content": "<|reserved_special_token_83|>",
|
709 |
+
"lstrip": false,
|
710 |
+
"normalized": false,
|
711 |
+
"rstrip": false,
|
712 |
+
"single_word": false,
|
713 |
+
"special": true
|
714 |
+
},
|
715 |
+
"128089": {
|
716 |
+
"content": "<|reserved_special_token_84|>",
|
717 |
+
"lstrip": false,
|
718 |
+
"normalized": false,
|
719 |
+
"rstrip": false,
|
720 |
+
"single_word": false,
|
721 |
+
"special": true
|
722 |
+
},
|
723 |
+
"128090": {
|
724 |
+
"content": "<|reserved_special_token_85|>",
|
725 |
+
"lstrip": false,
|
726 |
+
"normalized": false,
|
727 |
+
"rstrip": false,
|
728 |
+
"single_word": false,
|
729 |
+
"special": true
|
730 |
+
},
|
731 |
+
"128091": {
|
732 |
+
"content": "<|reserved_special_token_86|>",
|
733 |
+
"lstrip": false,
|
734 |
+
"normalized": false,
|
735 |
+
"rstrip": false,
|
736 |
+
"single_word": false,
|
737 |
+
"special": true
|
738 |
+
},
|
739 |
+
"128092": {
|
740 |
+
"content": "<|reserved_special_token_87|>",
|
741 |
+
"lstrip": false,
|
742 |
+
"normalized": false,
|
743 |
+
"rstrip": false,
|
744 |
+
"single_word": false,
|
745 |
+
"special": true
|
746 |
+
},
|
747 |
+
"128093": {
|
748 |
+
"content": "<|reserved_special_token_88|>",
|
749 |
+
"lstrip": false,
|
750 |
+
"normalized": false,
|
751 |
+
"rstrip": false,
|
752 |
+
"single_word": false,
|
753 |
+
"special": true
|
754 |
+
},
|
755 |
+
"128094": {
|
756 |
+
"content": "<|reserved_special_token_89|>",
|
757 |
+
"lstrip": false,
|
758 |
+
"normalized": false,
|
759 |
+
"rstrip": false,
|
760 |
+
"single_word": false,
|
761 |
+
"special": true
|
762 |
+
},
|
763 |
+
"128095": {
|
764 |
+
"content": "<|reserved_special_token_90|>",
|
765 |
+
"lstrip": false,
|
766 |
+
"normalized": false,
|
767 |
+
"rstrip": false,
|
768 |
+
"single_word": false,
|
769 |
+
"special": true
|
770 |
+
},
|
771 |
+
"128096": {
|
772 |
+
"content": "<|reserved_special_token_91|>",
|
773 |
+
"lstrip": false,
|
774 |
+
"normalized": false,
|
775 |
+
"rstrip": false,
|
776 |
+
"single_word": false,
|
777 |
+
"special": true
|
778 |
+
},
|
779 |
+
"128097": {
|
780 |
+
"content": "<|reserved_special_token_92|>",
|
781 |
+
"lstrip": false,
|
782 |
+
"normalized": false,
|
783 |
+
"rstrip": false,
|
784 |
+
"single_word": false,
|
785 |
+
"special": true
|
786 |
+
},
|
787 |
+
"128098": {
|
788 |
+
"content": "<|reserved_special_token_93|>",
|
789 |
+
"lstrip": false,
|
790 |
+
"normalized": false,
|
791 |
+
"rstrip": false,
|
792 |
+
"single_word": false,
|
793 |
+
"special": true
|
794 |
+
},
|
795 |
+
"128099": {
|
796 |
+
"content": "<|reserved_special_token_94|>",
|
797 |
+
"lstrip": false,
|
798 |
+
"normalized": false,
|
799 |
+
"rstrip": false,
|
800 |
+
"single_word": false,
|
801 |
+
"special": true
|
802 |
+
},
|
803 |
+
"128100": {
|
804 |
+
"content": "<|reserved_special_token_95|>",
|
805 |
+
"lstrip": false,
|
806 |
+
"normalized": false,
|
807 |
+
"rstrip": false,
|
808 |
+
"single_word": false,
|
809 |
+
"special": true
|
810 |
+
},
|
811 |
+
"128101": {
|
812 |
+
"content": "<|reserved_special_token_96|>",
|
813 |
+
"lstrip": false,
|
814 |
+
"normalized": false,
|
815 |
+
"rstrip": false,
|
816 |
+
"single_word": false,
|
817 |
+
"special": true
|
818 |
+
},
|
819 |
+
"128102": {
|
820 |
+
"content": "<|reserved_special_token_97|>",
|
821 |
+
"lstrip": false,
|
822 |
+
"normalized": false,
|
823 |
+
"rstrip": false,
|
824 |
+
"single_word": false,
|
825 |
+
"special": true
|
826 |
+
},
|
827 |
+
"128103": {
|
828 |
+
"content": "<|reserved_special_token_98|>",
|
829 |
+
"lstrip": false,
|
830 |
+
"normalized": false,
|
831 |
+
"rstrip": false,
|
832 |
+
"single_word": false,
|
833 |
+
"special": true
|
834 |
+
},
|
835 |
+
"128104": {
|
836 |
+
"content": "<|reserved_special_token_99|>",
|
837 |
+
"lstrip": false,
|
838 |
+
"normalized": false,
|
839 |
+
"rstrip": false,
|
840 |
+
"single_word": false,
|
841 |
+
"special": true
|
842 |
+
},
|
843 |
+
"128105": {
|
844 |
+
"content": "<|reserved_special_token_100|>",
|
845 |
+
"lstrip": false,
|
846 |
+
"normalized": false,
|
847 |
+
"rstrip": false,
|
848 |
+
"single_word": false,
|
849 |
+
"special": true
|
850 |
+
},
|
851 |
+
"128106": {
|
852 |
+
"content": "<|reserved_special_token_101|>",
|
853 |
+
"lstrip": false,
|
854 |
+
"normalized": false,
|
855 |
+
"rstrip": false,
|
856 |
+
"single_word": false,
|
857 |
+
"special": true
|
858 |
+
},
|
859 |
+
"128107": {
|
860 |
+
"content": "<|reserved_special_token_102|>",
|
861 |
+
"lstrip": false,
|
862 |
+
"normalized": false,
|
863 |
+
"rstrip": false,
|
864 |
+
"single_word": false,
|
865 |
+
"special": true
|
866 |
+
},
|
867 |
+
"128108": {
|
868 |
+
"content": "<|reserved_special_token_103|>",
|
869 |
+
"lstrip": false,
|
870 |
+
"normalized": false,
|
871 |
+
"rstrip": false,
|
872 |
+
"single_word": false,
|
873 |
+
"special": true
|
874 |
+
},
|
875 |
+
"128109": {
|
876 |
+
"content": "<|reserved_special_token_104|>",
|
877 |
+
"lstrip": false,
|
878 |
+
"normalized": false,
|
879 |
+
"rstrip": false,
|
880 |
+
"single_word": false,
|
881 |
+
"special": true
|
882 |
+
},
|
883 |
+
"128110": {
|
884 |
+
"content": "<|reserved_special_token_105|>",
|
885 |
+
"lstrip": false,
|
886 |
+
"normalized": false,
|
887 |
+
"rstrip": false,
|
888 |
+
"single_word": false,
|
889 |
+
"special": true
|
890 |
+
},
|
891 |
+
"128111": {
|
892 |
+
"content": "<|reserved_special_token_106|>",
|
893 |
+
"lstrip": false,
|
894 |
+
"normalized": false,
|
895 |
+
"rstrip": false,
|
896 |
+
"single_word": false,
|
897 |
+
"special": true
|
898 |
+
},
|
899 |
+
"128112": {
|
900 |
+
"content": "<|reserved_special_token_107|>",
|
901 |
+
"lstrip": false,
|
902 |
+
"normalized": false,
|
903 |
+
"rstrip": false,
|
904 |
+
"single_word": false,
|
905 |
+
"special": true
|
906 |
+
},
|
907 |
+
"128113": {
|
908 |
+
"content": "<|reserved_special_token_108|>",
|
909 |
+
"lstrip": false,
|
910 |
+
"normalized": false,
|
911 |
+
"rstrip": false,
|
912 |
+
"single_word": false,
|
913 |
+
"special": true
|
914 |
+
},
|
915 |
+
"128114": {
|
916 |
+
"content": "<|reserved_special_token_109|>",
|
917 |
+
"lstrip": false,
|
918 |
+
"normalized": false,
|
919 |
+
"rstrip": false,
|
920 |
+
"single_word": false,
|
921 |
+
"special": true
|
922 |
+
},
|
923 |
+
"128115": {
|
924 |
+
"content": "<|reserved_special_token_110|>",
|
925 |
+
"lstrip": false,
|
926 |
+
"normalized": false,
|
927 |
+
"rstrip": false,
|
928 |
+
"single_word": false,
|
929 |
+
"special": true
|
930 |
+
},
|
931 |
+
"128116": {
|
932 |
+
"content": "<|reserved_special_token_111|>",
|
933 |
+
"lstrip": false,
|
934 |
+
"normalized": false,
|
935 |
+
"rstrip": false,
|
936 |
+
"single_word": false,
|
937 |
+
"special": true
|
938 |
+
},
|
939 |
+
"128117": {
|
940 |
+
"content": "<|reserved_special_token_112|>",
|
941 |
+
"lstrip": false,
|
942 |
+
"normalized": false,
|
943 |
+
"rstrip": false,
|
944 |
+
"single_word": false,
|
945 |
+
"special": true
|
946 |
+
},
|
947 |
+
"128118": {
|
948 |
+
"content": "<|reserved_special_token_113|>",
|
949 |
+
"lstrip": false,
|
950 |
+
"normalized": false,
|
951 |
+
"rstrip": false,
|
952 |
+
"single_word": false,
|
953 |
+
"special": true
|
954 |
+
},
|
955 |
+
"128119": {
|
956 |
+
"content": "<|reserved_special_token_114|>",
|
957 |
+
"lstrip": false,
|
958 |
+
"normalized": false,
|
959 |
+
"rstrip": false,
|
960 |
+
"single_word": false,
|
961 |
+
"special": true
|
962 |
+
},
|
963 |
+
"128120": {
|
964 |
+
"content": "<|reserved_special_token_115|>",
|
965 |
+
"lstrip": false,
|
966 |
+
"normalized": false,
|
967 |
+
"rstrip": false,
|
968 |
+
"single_word": false,
|
969 |
+
"special": true
|
970 |
+
},
|
971 |
+
"128121": {
|
972 |
+
"content": "<|reserved_special_token_116|>",
|
973 |
+
"lstrip": false,
|
974 |
+
"normalized": false,
|
975 |
+
"rstrip": false,
|
976 |
+
"single_word": false,
|
977 |
+
"special": true
|
978 |
+
},
|
979 |
+
"128122": {
|
980 |
+
"content": "<|reserved_special_token_117|>",
|
981 |
+
"lstrip": false,
|
982 |
+
"normalized": false,
|
983 |
+
"rstrip": false,
|
984 |
+
"single_word": false,
|
985 |
+
"special": true
|
986 |
+
},
|
987 |
+
"128123": {
|
988 |
+
"content": "<|reserved_special_token_118|>",
|
989 |
+
"lstrip": false,
|
990 |
+
"normalized": false,
|
991 |
+
"rstrip": false,
|
992 |
+
"single_word": false,
|
993 |
+
"special": true
|
994 |
+
},
|
995 |
+
"128124": {
|
996 |
+
"content": "<|reserved_special_token_119|>",
|
997 |
+
"lstrip": false,
|
998 |
+
"normalized": false,
|
999 |
+
"rstrip": false,
|
1000 |
+
"single_word": false,
|
1001 |
+
"special": true
|
1002 |
+
},
|
1003 |
+
"128125": {
|
1004 |
+
"content": "<|reserved_special_token_120|>",
|
1005 |
+
"lstrip": false,
|
1006 |
+
"normalized": false,
|
1007 |
+
"rstrip": false,
|
1008 |
+
"single_word": false,
|
1009 |
+
"special": true
|
1010 |
+
},
|
1011 |
+
"128126": {
|
1012 |
+
"content": "<|reserved_special_token_121|>",
|
1013 |
+
"lstrip": false,
|
1014 |
+
"normalized": false,
|
1015 |
+
"rstrip": false,
|
1016 |
+
"single_word": false,
|
1017 |
+
"special": true
|
1018 |
+
},
|
1019 |
+
"128127": {
|
1020 |
+
"content": "<|reserved_special_token_122|>",
|
1021 |
+
"lstrip": false,
|
1022 |
+
"normalized": false,
|
1023 |
+
"rstrip": false,
|
1024 |
+
"single_word": false,
|
1025 |
+
"special": true
|
1026 |
+
},
|
1027 |
+
"128128": {
|
1028 |
+
"content": "<|reserved_special_token_123|>",
|
1029 |
+
"lstrip": false,
|
1030 |
+
"normalized": false,
|
1031 |
+
"rstrip": false,
|
1032 |
+
"single_word": false,
|
1033 |
+
"special": true
|
1034 |
+
},
|
1035 |
+
"128129": {
|
1036 |
+
"content": "<|reserved_special_token_124|>",
|
1037 |
+
"lstrip": false,
|
1038 |
+
"normalized": false,
|
1039 |
+
"rstrip": false,
|
1040 |
+
"single_word": false,
|
1041 |
+
"special": true
|
1042 |
+
},
|
1043 |
+
"128130": {
|
1044 |
+
"content": "<|reserved_special_token_125|>",
|
1045 |
+
"lstrip": false,
|
1046 |
+
"normalized": false,
|
1047 |
+
"rstrip": false,
|
1048 |
+
"single_word": false,
|
1049 |
+
"special": true
|
1050 |
+
},
|
1051 |
+
"128131": {
|
1052 |
+
"content": "<|reserved_special_token_126|>",
|
1053 |
+
"lstrip": false,
|
1054 |
+
"normalized": false,
|
1055 |
+
"rstrip": false,
|
1056 |
+
"single_word": false,
|
1057 |
+
"special": true
|
1058 |
+
},
|
1059 |
+
"128132": {
|
1060 |
+
"content": "<|reserved_special_token_127|>",
|
1061 |
+
"lstrip": false,
|
1062 |
+
"normalized": false,
|
1063 |
+
"rstrip": false,
|
1064 |
+
"single_word": false,
|
1065 |
+
"special": true
|
1066 |
+
},
|
1067 |
+
"128133": {
|
1068 |
+
"content": "<|reserved_special_token_128|>",
|
1069 |
+
"lstrip": false,
|
1070 |
+
"normalized": false,
|
1071 |
+
"rstrip": false,
|
1072 |
+
"single_word": false,
|
1073 |
+
"special": true
|
1074 |
+
},
|
1075 |
+
"128134": {
|
1076 |
+
"content": "<|reserved_special_token_129|>",
|
1077 |
+
"lstrip": false,
|
1078 |
+
"normalized": false,
|
1079 |
+
"rstrip": false,
|
1080 |
+
"single_word": false,
|
1081 |
+
"special": true
|
1082 |
+
},
|
1083 |
+
"128135": {
|
1084 |
+
"content": "<|reserved_special_token_130|>",
|
1085 |
+
"lstrip": false,
|
1086 |
+
"normalized": false,
|
1087 |
+
"rstrip": false,
|
1088 |
+
"single_word": false,
|
1089 |
+
"special": true
|
1090 |
+
},
|
1091 |
+
"128136": {
|
1092 |
+
"content": "<|reserved_special_token_131|>",
|
1093 |
+
"lstrip": false,
|
1094 |
+
"normalized": false,
|
1095 |
+
"rstrip": false,
|
1096 |
+
"single_word": false,
|
1097 |
+
"special": true
|
1098 |
+
},
|
1099 |
+
"128137": {
|
1100 |
+
"content": "<|reserved_special_token_132|>",
|
1101 |
+
"lstrip": false,
|
1102 |
+
"normalized": false,
|
1103 |
+
"rstrip": false,
|
1104 |
+
"single_word": false,
|
1105 |
+
"special": true
|
1106 |
+
},
|
1107 |
+
"128138": {
|
1108 |
+
"content": "<|reserved_special_token_133|>",
|
1109 |
+
"lstrip": false,
|
1110 |
+
"normalized": false,
|
1111 |
+
"rstrip": false,
|
1112 |
+
"single_word": false,
|
1113 |
+
"special": true
|
1114 |
+
},
|
1115 |
+
"128139": {
|
1116 |
+
"content": "<|reserved_special_token_134|>",
|
1117 |
+
"lstrip": false,
|
1118 |
+
"normalized": false,
|
1119 |
+
"rstrip": false,
|
1120 |
+
"single_word": false,
|
1121 |
+
"special": true
|
1122 |
+
},
|
1123 |
+
"128140": {
|
1124 |
+
"content": "<|reserved_special_token_135|>",
|
1125 |
+
"lstrip": false,
|
1126 |
+
"normalized": false,
|
1127 |
+
"rstrip": false,
|
1128 |
+
"single_word": false,
|
1129 |
+
"special": true
|
1130 |
+
},
|
1131 |
+
"128141": {
|
1132 |
+
"content": "<|reserved_special_token_136|>",
|
1133 |
+
"lstrip": false,
|
1134 |
+
"normalized": false,
|
1135 |
+
"rstrip": false,
|
1136 |
+
"single_word": false,
|
1137 |
+
"special": true
|
1138 |
+
},
|
1139 |
+
"128142": {
|
1140 |
+
"content": "<|reserved_special_token_137|>",
|
1141 |
+
"lstrip": false,
|
1142 |
+
"normalized": false,
|
1143 |
+
"rstrip": false,
|
1144 |
+
"single_word": false,
|
1145 |
+
"special": true
|
1146 |
+
},
|
1147 |
+
"128143": {
|
1148 |
+
"content": "<|reserved_special_token_138|>",
|
1149 |
+
"lstrip": false,
|
1150 |
+
"normalized": false,
|
1151 |
+
"rstrip": false,
|
1152 |
+
"single_word": false,
|
1153 |
+
"special": true
|
1154 |
+
},
|
1155 |
+
"128144": {
|
1156 |
+
"content": "<|reserved_special_token_139|>",
|
1157 |
+
"lstrip": false,
|
1158 |
+
"normalized": false,
|
1159 |
+
"rstrip": false,
|
1160 |
+
"single_word": false,
|
1161 |
+
"special": true
|
1162 |
+
},
|
1163 |
+
"128145": {
|
1164 |
+
"content": "<|reserved_special_token_140|>",
|
1165 |
+
"lstrip": false,
|
1166 |
+
"normalized": false,
|
1167 |
+
"rstrip": false,
|
1168 |
+
"single_word": false,
|
1169 |
+
"special": true
|
1170 |
+
},
|
1171 |
+
"128146": {
|
1172 |
+
"content": "<|reserved_special_token_141|>",
|
1173 |
+
"lstrip": false,
|
1174 |
+
"normalized": false,
|
1175 |
+
"rstrip": false,
|
1176 |
+
"single_word": false,
|
1177 |
+
"special": true
|
1178 |
+
},
|
1179 |
+
"128147": {
|
1180 |
+
"content": "<|reserved_special_token_142|>",
|
1181 |
+
"lstrip": false,
|
1182 |
+
"normalized": false,
|
1183 |
+
"rstrip": false,
|
1184 |
+
"single_word": false,
|
1185 |
+
"special": true
|
1186 |
+
},
|
1187 |
+
"128148": {
|
1188 |
+
"content": "<|reserved_special_token_143|>",
|
1189 |
+
"lstrip": false,
|
1190 |
+
"normalized": false,
|
1191 |
+
"rstrip": false,
|
1192 |
+
"single_word": false,
|
1193 |
+
"special": true
|
1194 |
+
},
|
1195 |
+
"128149": {
|
1196 |
+
"content": "<|reserved_special_token_144|>",
|
1197 |
+
"lstrip": false,
|
1198 |
+
"normalized": false,
|
1199 |
+
"rstrip": false,
|
1200 |
+
"single_word": false,
|
1201 |
+
"special": true
|
1202 |
+
},
|
1203 |
+
"128150": {
|
1204 |
+
"content": "<|reserved_special_token_145|>",
|
1205 |
+
"lstrip": false,
|
1206 |
+
"normalized": false,
|
1207 |
+
"rstrip": false,
|
1208 |
+
"single_word": false,
|
1209 |
+
"special": true
|
1210 |
+
},
|
1211 |
+
"128151": {
|
1212 |
+
"content": "<|reserved_special_token_146|>",
|
1213 |
+
"lstrip": false,
|
1214 |
+
"normalized": false,
|
1215 |
+
"rstrip": false,
|
1216 |
+
"single_word": false,
|
1217 |
+
"special": true
|
1218 |
+
},
|
1219 |
+
"128152": {
|
1220 |
+
"content": "<|reserved_special_token_147|>",
|
1221 |
+
"lstrip": false,
|
1222 |
+
"normalized": false,
|
1223 |
+
"rstrip": false,
|
1224 |
+
"single_word": false,
|
1225 |
+
"special": true
|
1226 |
+
},
|
1227 |
+
"128153": {
|
1228 |
+
"content": "<|reserved_special_token_148|>",
|
1229 |
+
"lstrip": false,
|
1230 |
+
"normalized": false,
|
1231 |
+
"rstrip": false,
|
1232 |
+
"single_word": false,
|
1233 |
+
"special": true
|
1234 |
+
},
|
1235 |
+
"128154": {
|
1236 |
+
"content": "<|reserved_special_token_149|>",
|
1237 |
+
"lstrip": false,
|
1238 |
+
"normalized": false,
|
1239 |
+
"rstrip": false,
|
1240 |
+
"single_word": false,
|
1241 |
+
"special": true
|
1242 |
+
},
|
1243 |
+
"128155": {
|
1244 |
+
"content": "<|reserved_special_token_150|>",
|
1245 |
+
"lstrip": false,
|
1246 |
+
"normalized": false,
|
1247 |
+
"rstrip": false,
|
1248 |
+
"single_word": false,
|
1249 |
+
"special": true
|
1250 |
+
},
|
1251 |
+
"128156": {
|
1252 |
+
"content": "<|reserved_special_token_151|>",
|
1253 |
+
"lstrip": false,
|
1254 |
+
"normalized": false,
|
1255 |
+
"rstrip": false,
|
1256 |
+
"single_word": false,
|
1257 |
+
"special": true
|
1258 |
+
},
|
1259 |
+
"128157": {
|
1260 |
+
"content": "<|reserved_special_token_152|>",
|
1261 |
+
"lstrip": false,
|
1262 |
+
"normalized": false,
|
1263 |
+
"rstrip": false,
|
1264 |
+
"single_word": false,
|
1265 |
+
"special": true
|
1266 |
+
},
|
1267 |
+
"128158": {
|
1268 |
+
"content": "<|reserved_special_token_153|>",
|
1269 |
+
"lstrip": false,
|
1270 |
+
"normalized": false,
|
1271 |
+
"rstrip": false,
|
1272 |
+
"single_word": false,
|
1273 |
+
"special": true
|
1274 |
+
},
|
1275 |
+
"128159": {
|
1276 |
+
"content": "<|reserved_special_token_154|>",
|
1277 |
+
"lstrip": false,
|
1278 |
+
"normalized": false,
|
1279 |
+
"rstrip": false,
|
1280 |
+
"single_word": false,
|
1281 |
+
"special": true
|
1282 |
+
},
|
1283 |
+
"128160": {
|
1284 |
+
"content": "<|reserved_special_token_155|>",
|
1285 |
+
"lstrip": false,
|
1286 |
+
"normalized": false,
|
1287 |
+
"rstrip": false,
|
1288 |
+
"single_word": false,
|
1289 |
+
"special": true
|
1290 |
+
},
|
1291 |
+
"128161": {
|
1292 |
+
"content": "<|reserved_special_token_156|>",
|
1293 |
+
"lstrip": false,
|
1294 |
+
"normalized": false,
|
1295 |
+
"rstrip": false,
|
1296 |
+
"single_word": false,
|
1297 |
+
"special": true
|
1298 |
+
},
|
1299 |
+
"128162": {
|
1300 |
+
"content": "<|reserved_special_token_157|>",
|
1301 |
+
"lstrip": false,
|
1302 |
+
"normalized": false,
|
1303 |
+
"rstrip": false,
|
1304 |
+
"single_word": false,
|
1305 |
+
"special": true
|
1306 |
+
},
|
1307 |
+
"128163": {
|
1308 |
+
"content": "<|reserved_special_token_158|>",
|
1309 |
+
"lstrip": false,
|
1310 |
+
"normalized": false,
|
1311 |
+
"rstrip": false,
|
1312 |
+
"single_word": false,
|
1313 |
+
"special": true
|
1314 |
+
},
|
1315 |
+
"128164": {
|
1316 |
+
"content": "<|reserved_special_token_159|>",
|
1317 |
+
"lstrip": false,
|
1318 |
+
"normalized": false,
|
1319 |
+
"rstrip": false,
|
1320 |
+
"single_word": false,
|
1321 |
+
"special": true
|
1322 |
+
},
|
1323 |
+
"128165": {
|
1324 |
+
"content": "<|reserved_special_token_160|>",
|
1325 |
+
"lstrip": false,
|
1326 |
+
"normalized": false,
|
1327 |
+
"rstrip": false,
|
1328 |
+
"single_word": false,
|
1329 |
+
"special": true
|
1330 |
+
},
|
1331 |
+
"128166": {
|
1332 |
+
"content": "<|reserved_special_token_161|>",
|
1333 |
+
"lstrip": false,
|
1334 |
+
"normalized": false,
|
1335 |
+
"rstrip": false,
|
1336 |
+
"single_word": false,
|
1337 |
+
"special": true
|
1338 |
+
},
|
1339 |
+
"128167": {
|
1340 |
+
"content": "<|reserved_special_token_162|>",
|
1341 |
+
"lstrip": false,
|
1342 |
+
"normalized": false,
|
1343 |
+
"rstrip": false,
|
1344 |
+
"single_word": false,
|
1345 |
+
"special": true
|
1346 |
+
},
|
1347 |
+
"128168": {
|
1348 |
+
"content": "<|reserved_special_token_163|>",
|
1349 |
+
"lstrip": false,
|
1350 |
+
"normalized": false,
|
1351 |
+
"rstrip": false,
|
1352 |
+
"single_word": false,
|
1353 |
+
"special": true
|
1354 |
+
},
|
1355 |
+
"128169": {
|
1356 |
+
"content": "<|reserved_special_token_164|>",
|
1357 |
+
"lstrip": false,
|
1358 |
+
"normalized": false,
|
1359 |
+
"rstrip": false,
|
1360 |
+
"single_word": false,
|
1361 |
+
"special": true
|
1362 |
+
},
|
1363 |
+
"128170": {
|
1364 |
+
"content": "<|reserved_special_token_165|>",
|
1365 |
+
"lstrip": false,
|
1366 |
+
"normalized": false,
|
1367 |
+
"rstrip": false,
|
1368 |
+
"single_word": false,
|
1369 |
+
"special": true
|
1370 |
+
},
|
1371 |
+
"128171": {
|
1372 |
+
"content": "<|reserved_special_token_166|>",
|
1373 |
+
"lstrip": false,
|
1374 |
+
"normalized": false,
|
1375 |
+
"rstrip": false,
|
1376 |
+
"single_word": false,
|
1377 |
+
"special": true
|
1378 |
+
},
|
1379 |
+
"128172": {
|
1380 |
+
"content": "<|reserved_special_token_167|>",
|
1381 |
+
"lstrip": false,
|
1382 |
+
"normalized": false,
|
1383 |
+
"rstrip": false,
|
1384 |
+
"single_word": false,
|
1385 |
+
"special": true
|
1386 |
+
},
|
1387 |
+
"128173": {
|
1388 |
+
"content": "<|reserved_special_token_168|>",
|
1389 |
+
"lstrip": false,
|
1390 |
+
"normalized": false,
|
1391 |
+
"rstrip": false,
|
1392 |
+
"single_word": false,
|
1393 |
+
"special": true
|
1394 |
+
},
|
1395 |
+
"128174": {
|
1396 |
+
"content": "<|reserved_special_token_169|>",
|
1397 |
+
"lstrip": false,
|
1398 |
+
"normalized": false,
|
1399 |
+
"rstrip": false,
|
1400 |
+
"single_word": false,
|
1401 |
+
"special": true
|
1402 |
+
},
|
1403 |
+
"128175": {
|
1404 |
+
"content": "<|reserved_special_token_170|>",
|
1405 |
+
"lstrip": false,
|
1406 |
+
"normalized": false,
|
1407 |
+
"rstrip": false,
|
1408 |
+
"single_word": false,
|
1409 |
+
"special": true
|
1410 |
+
},
|
1411 |
+
"128176": {
|
1412 |
+
"content": "<|reserved_special_token_171|>",
|
1413 |
+
"lstrip": false,
|
1414 |
+
"normalized": false,
|
1415 |
+
"rstrip": false,
|
1416 |
+
"single_word": false,
|
1417 |
+
"special": true
|
1418 |
+
},
|
1419 |
+
"128177": {
|
1420 |
+
"content": "<|reserved_special_token_172|>",
|
1421 |
+
"lstrip": false,
|
1422 |
+
"normalized": false,
|
1423 |
+
"rstrip": false,
|
1424 |
+
"single_word": false,
|
1425 |
+
"special": true
|
1426 |
+
},
|
1427 |
+
"128178": {
|
1428 |
+
"content": "<|reserved_special_token_173|>",
|
1429 |
+
"lstrip": false,
|
1430 |
+
"normalized": false,
|
1431 |
+
"rstrip": false,
|
1432 |
+
"single_word": false,
|
1433 |
+
"special": true
|
1434 |
+
},
|
1435 |
+
"128179": {
|
1436 |
+
"content": "<|reserved_special_token_174|>",
|
1437 |
+
"lstrip": false,
|
1438 |
+
"normalized": false,
|
1439 |
+
"rstrip": false,
|
1440 |
+
"single_word": false,
|
1441 |
+
"special": true
|
1442 |
+
},
|
1443 |
+
"128180": {
|
1444 |
+
"content": "<|reserved_special_token_175|>",
|
1445 |
+
"lstrip": false,
|
1446 |
+
"normalized": false,
|
1447 |
+
"rstrip": false,
|
1448 |
+
"single_word": false,
|
1449 |
+
"special": true
|
1450 |
+
},
|
1451 |
+
"128181": {
|
1452 |
+
"content": "<|reserved_special_token_176|>",
|
1453 |
+
"lstrip": false,
|
1454 |
+
"normalized": false,
|
1455 |
+
"rstrip": false,
|
1456 |
+
"single_word": false,
|
1457 |
+
"special": true
|
1458 |
+
},
|
1459 |
+
"128182": {
|
1460 |
+
"content": "<|reserved_special_token_177|>",
|
1461 |
+
"lstrip": false,
|
1462 |
+
"normalized": false,
|
1463 |
+
"rstrip": false,
|
1464 |
+
"single_word": false,
|
1465 |
+
"special": true
|
1466 |
+
},
|
1467 |
+
"128183": {
|
1468 |
+
"content": "<|reserved_special_token_178|>",
|
1469 |
+
"lstrip": false,
|
1470 |
+
"normalized": false,
|
1471 |
+
"rstrip": false,
|
1472 |
+
"single_word": false,
|
1473 |
+
"special": true
|
1474 |
+
},
|
1475 |
+
"128184": {
|
1476 |
+
"content": "<|reserved_special_token_179|>",
|
1477 |
+
"lstrip": false,
|
1478 |
+
"normalized": false,
|
1479 |
+
"rstrip": false,
|
1480 |
+
"single_word": false,
|
1481 |
+
"special": true
|
1482 |
+
},
|
1483 |
+
"128185": {
|
1484 |
+
"content": "<|reserved_special_token_180|>",
|
1485 |
+
"lstrip": false,
|
1486 |
+
"normalized": false,
|
1487 |
+
"rstrip": false,
|
1488 |
+
"single_word": false,
|
1489 |
+
"special": true
|
1490 |
+
},
|
1491 |
+
"128186": {
|
1492 |
+
"content": "<|reserved_special_token_181|>",
|
1493 |
+
"lstrip": false,
|
1494 |
+
"normalized": false,
|
1495 |
+
"rstrip": false,
|
1496 |
+
"single_word": false,
|
1497 |
+
"special": true
|
1498 |
+
},
|
1499 |
+
"128187": {
|
1500 |
+
"content": "<|reserved_special_token_182|>",
|
1501 |
+
"lstrip": false,
|
1502 |
+
"normalized": false,
|
1503 |
+
"rstrip": false,
|
1504 |
+
"single_word": false,
|
1505 |
+
"special": true
|
1506 |
+
},
|
1507 |
+
"128188": {
|
1508 |
+
"content": "<|reserved_special_token_183|>",
|
1509 |
+
"lstrip": false,
|
1510 |
+
"normalized": false,
|
1511 |
+
"rstrip": false,
|
1512 |
+
"single_word": false,
|
1513 |
+
"special": true
|
1514 |
+
},
|
1515 |
+
"128189": {
|
1516 |
+
"content": "<|reserved_special_token_184|>",
|
1517 |
+
"lstrip": false,
|
1518 |
+
"normalized": false,
|
1519 |
+
"rstrip": false,
|
1520 |
+
"single_word": false,
|
1521 |
+
"special": true
|
1522 |
+
},
|
1523 |
+
"128190": {
|
1524 |
+
"content": "<|reserved_special_token_185|>",
|
1525 |
+
"lstrip": false,
|
1526 |
+
"normalized": false,
|
1527 |
+
"rstrip": false,
|
1528 |
+
"single_word": false,
|
1529 |
+
"special": true
|
1530 |
+
},
|
1531 |
+
"128191": {
|
1532 |
+
"content": "<|reserved_special_token_186|>",
|
1533 |
+
"lstrip": false,
|
1534 |
+
"normalized": false,
|
1535 |
+
"rstrip": false,
|
1536 |
+
"single_word": false,
|
1537 |
+
"special": true
|
1538 |
+
},
|
1539 |
+
"128192": {
|
1540 |
+
"content": "<|reserved_special_token_187|>",
|
1541 |
+
"lstrip": false,
|
1542 |
+
"normalized": false,
|
1543 |
+
"rstrip": false,
|
1544 |
+
"single_word": false,
|
1545 |
+
"special": true
|
1546 |
+
},
|
1547 |
+
"128193": {
|
1548 |
+
"content": "<|reserved_special_token_188|>",
|
1549 |
+
"lstrip": false,
|
1550 |
+
"normalized": false,
|
1551 |
+
"rstrip": false,
|
1552 |
+
"single_word": false,
|
1553 |
+
"special": true
|
1554 |
+
},
|
1555 |
+
"128194": {
|
1556 |
+
"content": "<|reserved_special_token_189|>",
|
1557 |
+
"lstrip": false,
|
1558 |
+
"normalized": false,
|
1559 |
+
"rstrip": false,
|
1560 |
+
"single_word": false,
|
1561 |
+
"special": true
|
1562 |
+
},
|
1563 |
+
"128195": {
|
1564 |
+
"content": "<|reserved_special_token_190|>",
|
1565 |
+
"lstrip": false,
|
1566 |
+
"normalized": false,
|
1567 |
+
"rstrip": false,
|
1568 |
+
"single_word": false,
|
1569 |
+
"special": true
|
1570 |
+
},
|
1571 |
+
"128196": {
|
1572 |
+
"content": "<|reserved_special_token_191|>",
|
1573 |
+
"lstrip": false,
|
1574 |
+
"normalized": false,
|
1575 |
+
"rstrip": false,
|
1576 |
+
"single_word": false,
|
1577 |
+
"special": true
|
1578 |
+
},
|
1579 |
+
"128197": {
|
1580 |
+
"content": "<|reserved_special_token_192|>",
|
1581 |
+
"lstrip": false,
|
1582 |
+
"normalized": false,
|
1583 |
+
"rstrip": false,
|
1584 |
+
"single_word": false,
|
1585 |
+
"special": true
|
1586 |
+
},
|
1587 |
+
"128198": {
|
1588 |
+
"content": "<|reserved_special_token_193|>",
|
1589 |
+
"lstrip": false,
|
1590 |
+
"normalized": false,
|
1591 |
+
"rstrip": false,
|
1592 |
+
"single_word": false,
|
1593 |
+
"special": true
|
1594 |
+
},
|
1595 |
+
"128199": {
|
1596 |
+
"content": "<|reserved_special_token_194|>",
|
1597 |
+
"lstrip": false,
|
1598 |
+
"normalized": false,
|
1599 |
+
"rstrip": false,
|
1600 |
+
"single_word": false,
|
1601 |
+
"special": true
|
1602 |
+
},
|
1603 |
+
"128200": {
|
1604 |
+
"content": "<|reserved_special_token_195|>",
|
1605 |
+
"lstrip": false,
|
1606 |
+
"normalized": false,
|
1607 |
+
"rstrip": false,
|
1608 |
+
"single_word": false,
|
1609 |
+
"special": true
|
1610 |
+
},
|
1611 |
+
"128201": {
|
1612 |
+
"content": "<|reserved_special_token_196|>",
|
1613 |
+
"lstrip": false,
|
1614 |
+
"normalized": false,
|
1615 |
+
"rstrip": false,
|
1616 |
+
"single_word": false,
|
1617 |
+
"special": true
|
1618 |
+
},
|
1619 |
+
"128202": {
|
1620 |
+
"content": "<|reserved_special_token_197|>",
|
1621 |
+
"lstrip": false,
|
1622 |
+
"normalized": false,
|
1623 |
+
"rstrip": false,
|
1624 |
+
"single_word": false,
|
1625 |
+
"special": true
|
1626 |
+
},
|
1627 |
+
"128203": {
|
1628 |
+
"content": "<|reserved_special_token_198|>",
|
1629 |
+
"lstrip": false,
|
1630 |
+
"normalized": false,
|
1631 |
+
"rstrip": false,
|
1632 |
+
"single_word": false,
|
1633 |
+
"special": true
|
1634 |
+
},
|
1635 |
+
"128204": {
|
1636 |
+
"content": "<|reserved_special_token_199|>",
|
1637 |
+
"lstrip": false,
|
1638 |
+
"normalized": false,
|
1639 |
+
"rstrip": false,
|
1640 |
+
"single_word": false,
|
1641 |
+
"special": true
|
1642 |
+
},
|
1643 |
+
"128205": {
|
1644 |
+
"content": "<|reserved_special_token_200|>",
|
1645 |
+
"lstrip": false,
|
1646 |
+
"normalized": false,
|
1647 |
+
"rstrip": false,
|
1648 |
+
"single_word": false,
|
1649 |
+
"special": true
|
1650 |
+
},
|
1651 |
+
"128206": {
|
1652 |
+
"content": "<|reserved_special_token_201|>",
|
1653 |
+
"lstrip": false,
|
1654 |
+
"normalized": false,
|
1655 |
+
"rstrip": false,
|
1656 |
+
"single_word": false,
|
1657 |
+
"special": true
|
1658 |
+
},
|
1659 |
+
"128207": {
|
1660 |
+
"content": "<|reserved_special_token_202|>",
|
1661 |
+
"lstrip": false,
|
1662 |
+
"normalized": false,
|
1663 |
+
"rstrip": false,
|
1664 |
+
"single_word": false,
|
1665 |
+
"special": true
|
1666 |
+
},
|
1667 |
+
"128208": {
|
1668 |
+
"content": "<|reserved_special_token_203|>",
|
1669 |
+
"lstrip": false,
|
1670 |
+
"normalized": false,
|
1671 |
+
"rstrip": false,
|
1672 |
+
"single_word": false,
|
1673 |
+
"special": true
|
1674 |
+
},
|
1675 |
+
"128209": {
|
1676 |
+
"content": "<|reserved_special_token_204|>",
|
1677 |
+
"lstrip": false,
|
1678 |
+
"normalized": false,
|
1679 |
+
"rstrip": false,
|
1680 |
+
"single_word": false,
|
1681 |
+
"special": true
|
1682 |
+
},
|
1683 |
+
"128210": {
|
1684 |
+
"content": "<|reserved_special_token_205|>",
|
1685 |
+
"lstrip": false,
|
1686 |
+
"normalized": false,
|
1687 |
+
"rstrip": false,
|
1688 |
+
"single_word": false,
|
1689 |
+
"special": true
|
1690 |
+
},
|
1691 |
+
"128211": {
|
1692 |
+
"content": "<|reserved_special_token_206|>",
|
1693 |
+
"lstrip": false,
|
1694 |
+
"normalized": false,
|
1695 |
+
"rstrip": false,
|
1696 |
+
"single_word": false,
|
1697 |
+
"special": true
|
1698 |
+
},
|
1699 |
+
"128212": {
|
1700 |
+
"content": "<|reserved_special_token_207|>",
|
1701 |
+
"lstrip": false,
|
1702 |
+
"normalized": false,
|
1703 |
+
"rstrip": false,
|
1704 |
+
"single_word": false,
|
1705 |
+
"special": true
|
1706 |
+
},
|
1707 |
+
"128213": {
|
1708 |
+
"content": "<|reserved_special_token_208|>",
|
1709 |
+
"lstrip": false,
|
1710 |
+
"normalized": false,
|
1711 |
+
"rstrip": false,
|
1712 |
+
"single_word": false,
|
1713 |
+
"special": true
|
1714 |
+
},
|
1715 |
+
"128214": {
|
1716 |
+
"content": "<|reserved_special_token_209|>",
|
1717 |
+
"lstrip": false,
|
1718 |
+
"normalized": false,
|
1719 |
+
"rstrip": false,
|
1720 |
+
"single_word": false,
|
1721 |
+
"special": true
|
1722 |
+
},
|
1723 |
+
"128215": {
|
1724 |
+
"content": "<|reserved_special_token_210|>",
|
1725 |
+
"lstrip": false,
|
1726 |
+
"normalized": false,
|
1727 |
+
"rstrip": false,
|
1728 |
+
"single_word": false,
|
1729 |
+
"special": true
|
1730 |
+
},
|
1731 |
+
"128216": {
|
1732 |
+
"content": "<|reserved_special_token_211|>",
|
1733 |
+
"lstrip": false,
|
1734 |
+
"normalized": false,
|
1735 |
+
"rstrip": false,
|
1736 |
+
"single_word": false,
|
1737 |
+
"special": true
|
1738 |
+
},
|
1739 |
+
"128217": {
|
1740 |
+
"content": "<|reserved_special_token_212|>",
|
1741 |
+
"lstrip": false,
|
1742 |
+
"normalized": false,
|
1743 |
+
"rstrip": false,
|
1744 |
+
"single_word": false,
|
1745 |
+
"special": true
|
1746 |
+
},
|
1747 |
+
"128218": {
|
1748 |
+
"content": "<|reserved_special_token_213|>",
|
1749 |
+
"lstrip": false,
|
1750 |
+
"normalized": false,
|
1751 |
+
"rstrip": false,
|
1752 |
+
"single_word": false,
|
1753 |
+
"special": true
|
1754 |
+
},
|
1755 |
+
"128219": {
|
1756 |
+
"content": "<|reserved_special_token_214|>",
|
1757 |
+
"lstrip": false,
|
1758 |
+
"normalized": false,
|
1759 |
+
"rstrip": false,
|
1760 |
+
"single_word": false,
|
1761 |
+
"special": true
|
1762 |
+
},
|
1763 |
+
"128220": {
|
1764 |
+
"content": "<|reserved_special_token_215|>",
|
1765 |
+
"lstrip": false,
|
1766 |
+
"normalized": false,
|
1767 |
+
"rstrip": false,
|
1768 |
+
"single_word": false,
|
1769 |
+
"special": true
|
1770 |
+
},
|
1771 |
+
"128221": {
|
1772 |
+
"content": "<|reserved_special_token_216|>",
|
1773 |
+
"lstrip": false,
|
1774 |
+
"normalized": false,
|
1775 |
+
"rstrip": false,
|
1776 |
+
"single_word": false,
|
1777 |
+
"special": true
|
1778 |
+
},
|
1779 |
+
"128222": {
|
1780 |
+
"content": "<|reserved_special_token_217|>",
|
1781 |
+
"lstrip": false,
|
1782 |
+
"normalized": false,
|
1783 |
+
"rstrip": false,
|
1784 |
+
"single_word": false,
|
1785 |
+
"special": true
|
1786 |
+
},
|
1787 |
+
"128223": {
|
1788 |
+
"content": "<|reserved_special_token_218|>",
|
1789 |
+
"lstrip": false,
|
1790 |
+
"normalized": false,
|
1791 |
+
"rstrip": false,
|
1792 |
+
"single_word": false,
|
1793 |
+
"special": true
|
1794 |
+
},
|
1795 |
+
"128224": {
|
1796 |
+
"content": "<|reserved_special_token_219|>",
|
1797 |
+
"lstrip": false,
|
1798 |
+
"normalized": false,
|
1799 |
+
"rstrip": false,
|
1800 |
+
"single_word": false,
|
1801 |
+
"special": true
|
1802 |
+
},
|
1803 |
+
"128225": {
|
1804 |
+
"content": "<|reserved_special_token_220|>",
|
1805 |
+
"lstrip": false,
|
1806 |
+
"normalized": false,
|
1807 |
+
"rstrip": false,
|
1808 |
+
"single_word": false,
|
1809 |
+
"special": true
|
1810 |
+
},
|
1811 |
+
"128226": {
|
1812 |
+
"content": "<|reserved_special_token_221|>",
|
1813 |
+
"lstrip": false,
|
1814 |
+
"normalized": false,
|
1815 |
+
"rstrip": false,
|
1816 |
+
"single_word": false,
|
1817 |
+
"special": true
|
1818 |
+
},
|
1819 |
+
"128227": {
|
1820 |
+
"content": "<|reserved_special_token_222|>",
|
1821 |
+
"lstrip": false,
|
1822 |
+
"normalized": false,
|
1823 |
+
"rstrip": false,
|
1824 |
+
"single_word": false,
|
1825 |
+
"special": true
|
1826 |
+
},
|
1827 |
+
"128228": {
|
1828 |
+
"content": "<|reserved_special_token_223|>",
|
1829 |
+
"lstrip": false,
|
1830 |
+
"normalized": false,
|
1831 |
+
"rstrip": false,
|
1832 |
+
"single_word": false,
|
1833 |
+
"special": true
|
1834 |
+
},
|
1835 |
+
"128229": {
|
1836 |
+
"content": "<|reserved_special_token_224|>",
|
1837 |
+
"lstrip": false,
|
1838 |
+
"normalized": false,
|
1839 |
+
"rstrip": false,
|
1840 |
+
"single_word": false,
|
1841 |
+
"special": true
|
1842 |
+
},
|
1843 |
+
"128230": {
|
1844 |
+
"content": "<|reserved_special_token_225|>",
|
1845 |
+
"lstrip": false,
|
1846 |
+
"normalized": false,
|
1847 |
+
"rstrip": false,
|
1848 |
+
"single_word": false,
|
1849 |
+
"special": true
|
1850 |
+
},
|
1851 |
+
"128231": {
|
1852 |
+
"content": "<|reserved_special_token_226|>",
|
1853 |
+
"lstrip": false,
|
1854 |
+
"normalized": false,
|
1855 |
+
"rstrip": false,
|
1856 |
+
"single_word": false,
|
1857 |
+
"special": true
|
1858 |
+
},
|
1859 |
+
"128232": {
|
1860 |
+
"content": "<|reserved_special_token_227|>",
|
1861 |
+
"lstrip": false,
|
1862 |
+
"normalized": false,
|
1863 |
+
"rstrip": false,
|
1864 |
+
"single_word": false,
|
1865 |
+
"special": true
|
1866 |
+
},
|
1867 |
+
"128233": {
|
1868 |
+
"content": "<|reserved_special_token_228|>",
|
1869 |
+
"lstrip": false,
|
1870 |
+
"normalized": false,
|
1871 |
+
"rstrip": false,
|
1872 |
+
"single_word": false,
|
1873 |
+
"special": true
|
1874 |
+
},
|
1875 |
+
"128234": {
|
1876 |
+
"content": "<|reserved_special_token_229|>",
|
1877 |
+
"lstrip": false,
|
1878 |
+
"normalized": false,
|
1879 |
+
"rstrip": false,
|
1880 |
+
"single_word": false,
|
1881 |
+
"special": true
|
1882 |
+
},
|
1883 |
+
"128235": {
|
1884 |
+
"content": "<|reserved_special_token_230|>",
|
1885 |
+
"lstrip": false,
|
1886 |
+
"normalized": false,
|
1887 |
+
"rstrip": false,
|
1888 |
+
"single_word": false,
|
1889 |
+
"special": true
|
1890 |
+
},
|
1891 |
+
"128236": {
|
1892 |
+
"content": "<|reserved_special_token_231|>",
|
1893 |
+
"lstrip": false,
|
1894 |
+
"normalized": false,
|
1895 |
+
"rstrip": false,
|
1896 |
+
"single_word": false,
|
1897 |
+
"special": true
|
1898 |
+
},
|
1899 |
+
"128237": {
|
1900 |
+
"content": "<|reserved_special_token_232|>",
|
1901 |
+
"lstrip": false,
|
1902 |
+
"normalized": false,
|
1903 |
+
"rstrip": false,
|
1904 |
+
"single_word": false,
|
1905 |
+
"special": true
|
1906 |
+
},
|
1907 |
+
"128238": {
|
1908 |
+
"content": "<|reserved_special_token_233|>",
|
1909 |
+
"lstrip": false,
|
1910 |
+
"normalized": false,
|
1911 |
+
"rstrip": false,
|
1912 |
+
"single_word": false,
|
1913 |
+
"special": true
|
1914 |
+
},
|
1915 |
+
"128239": {
|
1916 |
+
"content": "<|reserved_special_token_234|>",
|
1917 |
+
"lstrip": false,
|
1918 |
+
"normalized": false,
|
1919 |
+
"rstrip": false,
|
1920 |
+
"single_word": false,
|
1921 |
+
"special": true
|
1922 |
+
},
|
1923 |
+
"128240": {
|
1924 |
+
"content": "<|reserved_special_token_235|>",
|
1925 |
+
"lstrip": false,
|
1926 |
+
"normalized": false,
|
1927 |
+
"rstrip": false,
|
1928 |
+
"single_word": false,
|
1929 |
+
"special": true
|
1930 |
+
},
|
1931 |
+
"128241": {
|
1932 |
+
"content": "<|reserved_special_token_236|>",
|
1933 |
+
"lstrip": false,
|
1934 |
+
"normalized": false,
|
1935 |
+
"rstrip": false,
|
1936 |
+
"single_word": false,
|
1937 |
+
"special": true
|
1938 |
+
},
|
1939 |
+
"128242": {
|
1940 |
+
"content": "<|reserved_special_token_237|>",
|
1941 |
+
"lstrip": false,
|
1942 |
+
"normalized": false,
|
1943 |
+
"rstrip": false,
|
1944 |
+
"single_word": false,
|
1945 |
+
"special": true
|
1946 |
+
},
|
1947 |
+
"128243": {
|
1948 |
+
"content": "<|reserved_special_token_238|>",
|
1949 |
+
"lstrip": false,
|
1950 |
+
"normalized": false,
|
1951 |
+
"rstrip": false,
|
1952 |
+
"single_word": false,
|
1953 |
+
"special": true
|
1954 |
+
},
|
1955 |
+
"128244": {
|
1956 |
+
"content": "<|reserved_special_token_239|>",
|
1957 |
+
"lstrip": false,
|
1958 |
+
"normalized": false,
|
1959 |
+
"rstrip": false,
|
1960 |
+
"single_word": false,
|
1961 |
+
"special": true
|
1962 |
+
},
|
1963 |
+
"128245": {
|
1964 |
+
"content": "<|reserved_special_token_240|>",
|
1965 |
+
"lstrip": false,
|
1966 |
+
"normalized": false,
|
1967 |
+
"rstrip": false,
|
1968 |
+
"single_word": false,
|
1969 |
+
"special": true
|
1970 |
+
},
|
1971 |
+
"128246": {
|
1972 |
+
"content": "<|reserved_special_token_241|>",
|
1973 |
+
"lstrip": false,
|
1974 |
+
"normalized": false,
|
1975 |
+
"rstrip": false,
|
1976 |
+
"single_word": false,
|
1977 |
+
"special": true
|
1978 |
+
},
|
1979 |
+
"128247": {
|
1980 |
+
"content": "<|reserved_special_token_242|>",
|
1981 |
+
"lstrip": false,
|
1982 |
+
"normalized": false,
|
1983 |
+
"rstrip": false,
|
1984 |
+
"single_word": false,
|
1985 |
+
"special": true
|
1986 |
+
},
|
1987 |
+
"128248": {
|
1988 |
+
"content": "<|reserved_special_token_243|>",
|
1989 |
+
"lstrip": false,
|
1990 |
+
"normalized": false,
|
1991 |
+
"rstrip": false,
|
1992 |
+
"single_word": false,
|
1993 |
+
"special": true
|
1994 |
+
},
|
1995 |
+
"128249": {
|
1996 |
+
"content": "<|reserved_special_token_244|>",
|
1997 |
+
"lstrip": false,
|
1998 |
+
"normalized": false,
|
1999 |
+
"rstrip": false,
|
2000 |
+
"single_word": false,
|
2001 |
+
"special": true
|
2002 |
+
},
|
2003 |
+
"128250": {
|
2004 |
+
"content": "<|reserved_special_token_245|>",
|
2005 |
+
"lstrip": false,
|
2006 |
+
"normalized": false,
|
2007 |
+
"rstrip": false,
|
2008 |
+
"single_word": false,
|
2009 |
+
"special": true
|
2010 |
+
},
|
2011 |
+
"128251": {
|
2012 |
+
"content": "<|reserved_special_token_246|>",
|
2013 |
+
"lstrip": false,
|
2014 |
+
"normalized": false,
|
2015 |
+
"rstrip": false,
|
2016 |
+
"single_word": false,
|
2017 |
+
"special": true
|
2018 |
+
},
|
2019 |
+
"128252": {
|
2020 |
+
"content": "<|reserved_special_token_247|>",
|
2021 |
+
"lstrip": false,
|
2022 |
+
"normalized": false,
|
2023 |
+
"rstrip": false,
|
2024 |
+
"single_word": false,
|
2025 |
+
"special": true
|
2026 |
+
},
|
2027 |
+
"128253": {
|
2028 |
+
"content": "<|reserved_special_token_248|>",
|
2029 |
+
"lstrip": false,
|
2030 |
+
"normalized": false,
|
2031 |
+
"rstrip": false,
|
2032 |
+
"single_word": false,
|
2033 |
+
"special": true
|
2034 |
+
},
|
2035 |
+
"128254": {
|
2036 |
+
"content": "<|reserved_special_token_249|>",
|
2037 |
+
"lstrip": false,
|
2038 |
+
"normalized": false,
|
2039 |
+
"rstrip": false,
|
2040 |
+
"single_word": false,
|
2041 |
+
"special": true
|
2042 |
+
},
|
2043 |
+
"128255": {
|
2044 |
+
"content": "<|reserved_special_token_250|>",
|
2045 |
"lstrip": false,
|
2046 |
"normalized": false,
|
2047 |
"rstrip": false,
|
|
|
2049 |
"special": true
|
2050 |
}
|
2051 |
},
|
2052 |
+
"bos_token": "<|begin_of_text|>",
|
2053 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
2054 |
+
"clean_up_tokenization_spaces": true,
|
2055 |
+
"eos_token": "<|eot_id|>",
|
2056 |
+
"model_input_names": [
|
2057 |
+
"input_ids",
|
2058 |
+
"attention_mask"
|
2059 |
],
|
|
|
|
|
|
|
|
|
|
|
2060 |
"model_max_length": 2048,
|
2061 |
+
"pad_token": "<|eot_id|>",
|
2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
|
|
|
|
|
|
|
|
|
|
2063 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 61134,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.06614070340397472,
|
4 |
+
"train_runtime": 4423.243,
|
5 |
"train_samples": 61134,
|
6 |
+
"train_samples_per_second": 13.821,
|
7 |
+
"train_steps_per_second": 0.108
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -11,11 +11,11 @@
|
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
"learning_rate": 1.0416666666666666e-08,
|
14 |
-
"logits/chosen":
|
15 |
-
"logits/rejected":
|
16 |
-
"logps/chosen": -
|
17 |
-
"logps/rejected": -
|
18 |
-
"loss": 0.
|
19 |
"rewards/accuracies": 0.0,
|
20 |
"rewards/chosen": 0.0,
|
21 |
"rewards/margins": 0.0,
|
@@ -25,737 +25,737 @@
|
|
25 |
{
|
26 |
"epoch": 0.02,
|
27 |
"learning_rate": 1.0416666666666667e-07,
|
28 |
-
"logits/chosen":
|
29 |
-
"logits/rejected":
|
30 |
-
"logps/chosen": -
|
31 |
-
"logps/rejected": -
|
32 |
-
"loss": 0.
|
33 |
-
"rewards/accuracies": 0.
|
34 |
-
"rewards/chosen":
|
35 |
-
"rewards/margins": 0.
|
36 |
-
"rewards/rejected": -0.
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.04,
|
41 |
"learning_rate": 2.0833333333333333e-07,
|
42 |
-
"logits/chosen":
|
43 |
-
"logits/rejected":
|
44 |
-
"logps/chosen": -
|
45 |
-
"logps/rejected": -
|
46 |
-
"loss": 0.
|
47 |
-
"rewards/accuracies": 0.
|
48 |
-
"rewards/chosen": 0.
|
49 |
-
"rewards/margins": 0.
|
50 |
-
"rewards/rejected": -0.
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.06,
|
55 |
"learning_rate": 3.1249999999999997e-07,
|
56 |
-
"logits/chosen":
|
57 |
-
"logits/rejected":
|
58 |
-
"logps/chosen": -
|
59 |
-
"logps/rejected": -
|
60 |
-
"loss": 0.
|
61 |
-
"rewards/accuracies": 0.
|
62 |
-
"rewards/chosen":
|
63 |
-
"rewards/margins": 0.
|
64 |
-
"rewards/rejected": -0.
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.08,
|
69 |
"learning_rate": 4.1666666666666667e-07,
|
70 |
-
"logits/chosen":
|
71 |
-
"logits/rejected":
|
72 |
-
"logps/chosen": -
|
73 |
-
"logps/rejected": -
|
74 |
-
"loss": 0.
|
75 |
-
"rewards/accuracies": 0.
|
76 |
-
"rewards/chosen": -0.
|
77 |
-
"rewards/margins": 0.
|
78 |
-
"rewards/rejected": -0.
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.1,
|
83 |
-
"learning_rate": 4.
|
84 |
-
"logits/chosen":
|
85 |
-
"logits/rejected":
|
86 |
-
"logps/chosen": -
|
87 |
-
"logps/rejected": -
|
88 |
-
"loss": 0.
|
89 |
-
"rewards/accuracies": 0.
|
90 |
-
"rewards/chosen": -0.
|
91 |
-
"rewards/margins": 0.
|
92 |
-
"rewards/rejected": -0.
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.13,
|
97 |
-
"learning_rate": 4.
|
98 |
-
"logits/chosen":
|
99 |
-
"logits/rejected":
|
100 |
-
"logps/chosen": -
|
101 |
-
"logps/rejected": -
|
102 |
-
"loss": 0.
|
103 |
-
"rewards/accuracies": 0.
|
104 |
-
"rewards/chosen": -0.
|
105 |
-
"rewards/margins": 0.
|
106 |
-
"rewards/rejected": -0.
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.15,
|
111 |
-
"learning_rate": 4.
|
112 |
-
"logits/chosen":
|
113 |
-
"logits/rejected":
|
114 |
-
"logps/chosen": -
|
115 |
-
"logps/rejected": -
|
116 |
-
"loss": 0.
|
117 |
-
"rewards/accuracies": 0.
|
118 |
-
"rewards/chosen": -0.
|
119 |
-
"rewards/margins": 0.
|
120 |
-
"rewards/rejected": -0.
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.17,
|
125 |
-
"learning_rate": 4.
|
126 |
-
"logits/chosen":
|
127 |
-
"logits/rejected":
|
128 |
-
"logps/chosen": -
|
129 |
-
"logps/rejected": -
|
130 |
-
"loss": 0.
|
131 |
-
"rewards/accuracies": 0.
|
132 |
-
"rewards/chosen": -0.
|
133 |
-
"rewards/margins": 0.
|
134 |
-
"rewards/rejected": -0.
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.19,
|
139 |
-
"learning_rate": 4.
|
140 |
-
"logits/chosen":
|
141 |
-
"logits/rejected":
|
142 |
-
"logps/chosen": -
|
143 |
-
"logps/rejected": -
|
144 |
-
"loss": 0.
|
145 |
-
"rewards/accuracies": 0.
|
146 |
-
"rewards/chosen": -0.
|
147 |
-
"rewards/margins": 0.
|
148 |
-
"rewards/rejected": -0.
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.21,
|
153 |
-
"learning_rate": 4.
|
154 |
-
"logits/chosen":
|
155 |
-
"logits/rejected":
|
156 |
-
"logps/chosen": -
|
157 |
-
"logps/rejected": -
|
158 |
-
"loss": 0.
|
159 |
-
"rewards/accuracies": 0.
|
160 |
-
"rewards/chosen": -0.
|
161 |
-
"rewards/margins": 0.
|
162 |
-
"rewards/rejected": -0.
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.21,
|
167 |
-
"eval_logits/chosen":
|
168 |
-
"eval_logits/rejected":
|
169 |
-
"eval_logps/chosen": -
|
170 |
-
"eval_logps/rejected": -
|
171 |
-
"eval_loss": 0.
|
172 |
-
"eval_rewards/accuracies": 0.
|
173 |
-
"eval_rewards/chosen": -0.
|
174 |
-
"eval_rewards/margins": 0.
|
175 |
-
"eval_rewards/rejected": -0.
|
176 |
-
"eval_runtime":
|
177 |
-
"eval_samples_per_second":
|
178 |
-
"eval_steps_per_second": 0.
|
179 |
"step": 100
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.23,
|
183 |
-
"learning_rate": 4.
|
184 |
-
"logits/chosen":
|
185 |
-
"logits/rejected":
|
186 |
-
"logps/chosen": -
|
187 |
-
"logps/rejected": -
|
188 |
-
"loss": 0.
|
189 |
-
"rewards/accuracies": 0.
|
190 |
-
"rewards/chosen": -0.
|
191 |
-
"rewards/margins": 0.
|
192 |
-
"rewards/rejected": -
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
"epoch": 0.25,
|
197 |
-
"learning_rate": 4.
|
198 |
-
"logits/chosen":
|
199 |
-
"logits/rejected":
|
200 |
-
"logps/chosen": -
|
201 |
-
"logps/rejected": -
|
202 |
-
"loss": 0.
|
203 |
-
"rewards/accuracies": 0.
|
204 |
-
"rewards/chosen": -0.
|
205 |
-
"rewards/margins": 0.
|
206 |
-
"rewards/rejected": -
|
207 |
"step": 120
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.27,
|
211 |
-
"learning_rate": 4.
|
212 |
-
"logits/chosen":
|
213 |
-
"logits/rejected":
|
214 |
-
"logps/chosen": -
|
215 |
-
"logps/rejected": -
|
216 |
-
"loss": 0.
|
217 |
-
"rewards/accuracies": 0.
|
218 |
-
"rewards/chosen": -0.
|
219 |
-
"rewards/margins": 0.
|
220 |
-
"rewards/rejected": -
|
221 |
"step": 130
|
222 |
},
|
223 |
{
|
224 |
"epoch": 0.29,
|
225 |
-
"learning_rate": 4.
|
226 |
-
"logits/chosen":
|
227 |
-
"logits/rejected":
|
228 |
-
"logps/chosen": -
|
229 |
-
"logps/rejected": -
|
230 |
-
"loss": 0.
|
231 |
-
"rewards/accuracies": 0.
|
232 |
-
"rewards/chosen": -0.
|
233 |
-
"rewards/margins": 0.
|
234 |
-
"rewards/rejected": -
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.31,
|
239 |
-
"learning_rate": 4.
|
240 |
-
"logits/chosen":
|
241 |
-
"logits/rejected":
|
242 |
-
"logps/chosen": -
|
243 |
-
"logps/rejected": -
|
244 |
-
"loss": 0.
|
245 |
-
"rewards/accuracies": 0.
|
246 |
-
"rewards/chosen": -0.
|
247 |
-
"rewards/margins": 0.
|
248 |
-
"rewards/rejected": -
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.33,
|
253 |
-
"learning_rate": 4.
|
254 |
-
"logits/chosen":
|
255 |
-
"logits/rejected":
|
256 |
-
"logps/chosen": -
|
257 |
-
"logps/rejected": -
|
258 |
-
"loss": 0.
|
259 |
-
"rewards/accuracies": 0.
|
260 |
-
"rewards/chosen": -0.
|
261 |
-
"rewards/margins": 0.
|
262 |
-
"rewards/rejected": -
|
263 |
"step": 160
|
264 |
},
|
265 |
{
|
266 |
"epoch": 0.36,
|
267 |
-
"learning_rate": 4.
|
268 |
-
"logits/chosen":
|
269 |
-
"logits/rejected":
|
270 |
-
"logps/chosen": -
|
271 |
-
"logps/rejected": -
|
272 |
-
"loss": 0.
|
273 |
-
"rewards/accuracies": 0.
|
274 |
-
"rewards/chosen": -
|
275 |
-
"rewards/margins": 0.
|
276 |
-
"rewards/rejected": -
|
277 |
"step": 170
|
278 |
},
|
279 |
{
|
280 |
"epoch": 0.38,
|
281 |
-
"learning_rate": 3.
|
282 |
-
"logits/chosen":
|
283 |
-
"logits/rejected":
|
284 |
-
"logps/chosen": -
|
285 |
-
"logps/rejected": -
|
286 |
-
"loss": 0.
|
287 |
-
"rewards/accuracies": 0.
|
288 |
-
"rewards/chosen": -
|
289 |
-
"rewards/margins": 0.
|
290 |
-
"rewards/rejected": -
|
291 |
"step": 180
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.4,
|
295 |
-
"learning_rate": 3.
|
296 |
-
"logits/chosen":
|
297 |
-
"logits/rejected":
|
298 |
-
"logps/chosen": -
|
299 |
-
"logps/rejected": -
|
300 |
-
"loss": 0.
|
301 |
-
"rewards/accuracies": 0.
|
302 |
-
"rewards/chosen": -
|
303 |
-
"rewards/margins": 0.
|
304 |
-
"rewards/rejected": -
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
"epoch": 0.42,
|
309 |
-
"learning_rate": 3.
|
310 |
-
"logits/chosen":
|
311 |
-
"logits/rejected":
|
312 |
-
"logps/chosen": -
|
313 |
-
"logps/rejected": -
|
314 |
-
"loss": 0.
|
315 |
-
"rewards/accuracies": 0.
|
316 |
-
"rewards/chosen": -0.
|
317 |
-
"rewards/margins": 0.
|
318 |
-
"rewards/rejected": -
|
319 |
"step": 200
|
320 |
},
|
321 |
{
|
322 |
"epoch": 0.42,
|
323 |
-
"eval_logits/chosen":
|
324 |
-
"eval_logits/rejected":
|
325 |
-
"eval_logps/chosen": -
|
326 |
-
"eval_logps/rejected": -
|
327 |
-
"eval_loss": 0.
|
328 |
-
"eval_rewards/accuracies": 0.
|
329 |
-
"eval_rewards/chosen": -0.
|
330 |
-
"eval_rewards/margins": 0.
|
331 |
-
"eval_rewards/rejected": -
|
332 |
-
"eval_runtime":
|
333 |
-
"eval_samples_per_second":
|
334 |
-
"eval_steps_per_second": 0.
|
335 |
"step": 200
|
336 |
},
|
337 |
{
|
338 |
"epoch": 0.44,
|
339 |
-
"learning_rate": 3.
|
340 |
-
"logits/chosen":
|
341 |
-
"logits/rejected":
|
342 |
-
"logps/chosen": -
|
343 |
-
"logps/rejected": -
|
344 |
-
"loss": 0.
|
345 |
-
"rewards/accuracies": 0.
|
346 |
-
"rewards/chosen": -
|
347 |
-
"rewards/margins": 0.
|
348 |
-
"rewards/rejected": -
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
"epoch": 0.46,
|
353 |
-
"learning_rate": 3.
|
354 |
-
"logits/chosen":
|
355 |
-
"logits/rejected":
|
356 |
-
"logps/chosen": -
|
357 |
-
"logps/rejected": -
|
358 |
-
"loss": 0.
|
359 |
-
"rewards/accuracies": 0.
|
360 |
-
"rewards/chosen": -
|
361 |
-
"rewards/margins": 0.
|
362 |
-
"rewards/rejected": -
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.48,
|
367 |
-
"learning_rate": 3.
|
368 |
-
"logits/chosen":
|
369 |
-
"logits/rejected":
|
370 |
-
"logps/chosen": -
|
371 |
-
"logps/rejected": -
|
372 |
-
"loss": 0.
|
373 |
-
"rewards/accuracies": 0.
|
374 |
-
"rewards/chosen": -
|
375 |
-
"rewards/margins": 0.
|
376 |
-
"rewards/rejected": -
|
377 |
"step": 230
|
378 |
},
|
379 |
{
|
380 |
"epoch": 0.5,
|
381 |
-
"learning_rate": 2.
|
382 |
-
"logits/chosen":
|
383 |
-
"logits/rejected":
|
384 |
-
"logps/chosen": -
|
385 |
-
"logps/rejected": -
|
386 |
-
"loss": 0.
|
387 |
-
"rewards/accuracies": 0.
|
388 |
-
"rewards/chosen": -
|
389 |
-
"rewards/margins": 0.
|
390 |
-
"rewards/rejected": -
|
391 |
"step": 240
|
392 |
},
|
393 |
{
|
394 |
"epoch": 0.52,
|
395 |
-
"learning_rate": 2.
|
396 |
-
"logits/chosen":
|
397 |
-
"logits/rejected":
|
398 |
-
"logps/chosen": -
|
399 |
-
"logps/rejected": -
|
400 |
-
"loss": 0.
|
401 |
-
"rewards/accuracies": 0.
|
402 |
-
"rewards/chosen": -
|
403 |
-
"rewards/margins": 0.
|
404 |
-
"rewards/rejected": -
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.54,
|
409 |
-
"learning_rate": 2.
|
410 |
-
"logits/chosen":
|
411 |
-
"logits/rejected":
|
412 |
-
"logps/chosen": -
|
413 |
-
"logps/rejected": -
|
414 |
-
"loss": 0.
|
415 |
-
"rewards/accuracies": 0.
|
416 |
-
"rewards/chosen": -
|
417 |
-
"rewards/margins": 0.
|
418 |
-
"rewards/rejected": -
|
419 |
"step": 260
|
420 |
},
|
421 |
{
|
422 |
-
"epoch": 0.
|
423 |
-
"learning_rate": 2.
|
424 |
-
"logits/chosen":
|
425 |
-
"logits/rejected":
|
426 |
-
"logps/chosen": -
|
427 |
-
"logps/rejected": -
|
428 |
-
"loss": 0.
|
429 |
-
"rewards/accuracies": 0.
|
430 |
-
"rewards/chosen": -
|
431 |
-
"rewards/margins": 0.
|
432 |
-
"rewards/rejected": -
|
433 |
"step": 270
|
434 |
},
|
435 |
{
|
436 |
"epoch": 0.59,
|
437 |
-
"learning_rate": 2.
|
438 |
-
"logits/chosen":
|
439 |
-
"logits/rejected":
|
440 |
-
"logps/chosen": -
|
441 |
-
"logps/rejected": -
|
442 |
-
"loss": 0.
|
443 |
-
"rewards/accuracies": 0.
|
444 |
-
"rewards/chosen": -
|
445 |
-
"rewards/margins": 0.
|
446 |
-
"rewards/rejected": -
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.61,
|
451 |
-
"learning_rate":
|
452 |
-
"logits/chosen":
|
453 |
-
"logits/rejected":
|
454 |
-
"logps/chosen": -
|
455 |
-
"logps/rejected": -
|
456 |
-
"loss": 0.
|
457 |
-
"rewards/accuracies": 0.
|
458 |
-
"rewards/chosen": -
|
459 |
-
"rewards/margins": 0.
|
460 |
-
"rewards/rejected": -
|
461 |
"step": 290
|
462 |
},
|
463 |
{
|
464 |
"epoch": 0.63,
|
465 |
-
"learning_rate": 1.
|
466 |
-
"logits/chosen":
|
467 |
-
"logits/rejected":
|
468 |
-
"logps/chosen": -
|
469 |
-
"logps/rejected": -
|
470 |
-
"loss": 0.
|
471 |
-
"rewards/accuracies": 0.
|
472 |
-
"rewards/chosen": -
|
473 |
-
"rewards/margins": 0.
|
474 |
-
"rewards/rejected": -
|
475 |
"step": 300
|
476 |
},
|
477 |
{
|
478 |
"epoch": 0.63,
|
479 |
-
"eval_logits/chosen":
|
480 |
-
"eval_logits/rejected":
|
481 |
-
"eval_logps/chosen": -
|
482 |
-
"eval_logps/rejected": -
|
483 |
-
"eval_loss": 0.
|
484 |
-
"eval_rewards/accuracies": 0.
|
485 |
-
"eval_rewards/chosen": -
|
486 |
-
"eval_rewards/margins": 0.
|
487 |
-
"eval_rewards/rejected": -
|
488 |
-
"eval_runtime":
|
489 |
-
"eval_samples_per_second":
|
490 |
-
"eval_steps_per_second": 0.
|
491 |
"step": 300
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.65,
|
495 |
-
"learning_rate": 1.
|
496 |
-
"logits/chosen":
|
497 |
-
"logits/rejected":
|
498 |
-
"logps/chosen": -
|
499 |
-
"logps/rejected": -
|
500 |
-
"loss": 0.
|
501 |
-
"rewards/accuracies": 0.
|
502 |
-
"rewards/chosen": -
|
503 |
-
"rewards/margins": 0.
|
504 |
-
"rewards/rejected": -
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
"epoch": 0.67,
|
509 |
-
"learning_rate": 1.
|
510 |
-
"logits/chosen":
|
511 |
-
"logits/rejected":
|
512 |
-
"logps/chosen": -
|
513 |
-
"logps/rejected": -
|
514 |
-
"loss": 0.
|
515 |
-
"rewards/accuracies": 0.
|
516 |
-
"rewards/chosen": -
|
517 |
-
"rewards/margins": 0.
|
518 |
-
"rewards/rejected": -
|
519 |
"step": 320
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.69,
|
523 |
-
"learning_rate": 1.
|
524 |
-
"logits/chosen":
|
525 |
-
"logits/rejected":
|
526 |
-
"logps/chosen": -
|
527 |
-
"logps/rejected": -
|
528 |
-
"loss": 0.
|
529 |
-
"rewards/accuracies": 0.
|
530 |
-
"rewards/chosen": -
|
531 |
-
"rewards/margins": 0.
|
532 |
-
"rewards/rejected": -
|
533 |
"step": 330
|
534 |
},
|
535 |
{
|
536 |
"epoch": 0.71,
|
537 |
-
"learning_rate": 1.
|
538 |
-
"logits/chosen":
|
539 |
-
"logits/rejected":
|
540 |
-
"logps/chosen": -
|
541 |
-
"logps/rejected": -
|
542 |
-
"loss": 0.
|
543 |
"rewards/accuracies": 0.699999988079071,
|
544 |
-
"rewards/chosen": -
|
545 |
-
"rewards/margins": 0.
|
546 |
-
"rewards/rejected": -
|
547 |
"step": 340
|
548 |
},
|
549 |
{
|
550 |
"epoch": 0.73,
|
551 |
-
"learning_rate": 1.
|
552 |
-
"logits/chosen":
|
553 |
-
"logits/rejected":
|
554 |
-
"logps/chosen": -
|
555 |
-
"logps/rejected": -
|
556 |
-
"loss": 0.
|
557 |
-
"rewards/accuracies": 0.
|
558 |
-
"rewards/chosen": -
|
559 |
-
"rewards/margins": 0.
|
560 |
-
"rewards/rejected": -
|
561 |
"step": 350
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.75,
|
565 |
-
"learning_rate": 8.
|
566 |
-
"logits/chosen":
|
567 |
-
"logits/rejected":
|
568 |
-
"logps/chosen": -
|
569 |
-
"logps/rejected": -
|
570 |
-
"loss": 0.
|
571 |
-
"rewards/accuracies": 0.
|
572 |
-
"rewards/chosen": -
|
573 |
-
"rewards/margins": 0.
|
574 |
-
"rewards/rejected": -
|
575 |
"step": 360
|
576 |
},
|
577 |
{
|
578 |
"epoch": 0.77,
|
579 |
-
"learning_rate": 7.
|
580 |
-
"logits/chosen":
|
581 |
-
"logits/rejected":
|
582 |
-
"logps/chosen": -
|
583 |
-
"logps/rejected": -
|
584 |
-
"loss": 0.
|
585 |
"rewards/accuracies": 0.71875,
|
586 |
-
"rewards/chosen": -
|
587 |
-
"rewards/margins": 0.
|
588 |
-
"rewards/rejected": -
|
589 |
"step": 370
|
590 |
},
|
591 |
{
|
592 |
-
"epoch": 0.
|
593 |
-
"learning_rate": 6.
|
594 |
-
"logits/chosen":
|
595 |
-
"logits/rejected":
|
596 |
-
"logps/chosen": -
|
597 |
-
"logps/rejected": -
|
598 |
-
"loss": 0.
|
599 |
-
"rewards/accuracies": 0.
|
600 |
-
"rewards/chosen": -
|
601 |
-
"rewards/margins": 0.
|
602 |
-
"rewards/rejected": -
|
603 |
"step": 380
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.82,
|
607 |
-
"learning_rate": 4.
|
608 |
-
"logits/chosen":
|
609 |
-
"logits/rejected":
|
610 |
-
"logps/chosen": -
|
611 |
-
"logps/rejected": -
|
612 |
-
"loss": 0.
|
613 |
-
"rewards/accuracies": 0.
|
614 |
-
"rewards/chosen": -
|
615 |
-
"rewards/margins": 0.
|
616 |
-
"rewards/rejected": -
|
617 |
"step": 390
|
618 |
},
|
619 |
{
|
620 |
"epoch": 0.84,
|
621 |
-
"learning_rate": 3.
|
622 |
-
"logits/chosen":
|
623 |
-
"logits/rejected":
|
624 |
-
"logps/chosen": -
|
625 |
-
"logps/rejected": -
|
626 |
-
"loss": 0.
|
627 |
-
"rewards/accuracies": 0.
|
628 |
-
"rewards/chosen": -
|
629 |
-
"rewards/margins": 0.
|
630 |
-
"rewards/rejected": -
|
631 |
"step": 400
|
632 |
},
|
633 |
{
|
634 |
"epoch": 0.84,
|
635 |
-
"eval_logits/chosen":
|
636 |
-
"eval_logits/rejected":
|
637 |
-
"eval_logps/chosen": -
|
638 |
-
"eval_logps/rejected": -
|
639 |
-
"eval_loss": 0.
|
640 |
-
"eval_rewards/accuracies": 0.
|
641 |
-
"eval_rewards/chosen": -
|
642 |
-
"eval_rewards/margins": 0.
|
643 |
-
"eval_rewards/rejected": -
|
644 |
-
"eval_runtime":
|
645 |
-
"eval_samples_per_second":
|
646 |
-
"eval_steps_per_second": 0.
|
647 |
"step": 400
|
648 |
},
|
649 |
{
|
650 |
"epoch": 0.86,
|
651 |
-
"learning_rate":
|
652 |
-
"logits/chosen":
|
653 |
-
"logits/rejected":
|
654 |
-
"logps/chosen": -
|
655 |
-
"logps/rejected": -
|
656 |
-
"loss": 0.
|
657 |
-
"rewards/accuracies": 0.
|
658 |
-
"rewards/chosen": -
|
659 |
-
"rewards/margins": 0.
|
660 |
-
"rewards/rejected": -
|
661 |
"step": 410
|
662 |
},
|
663 |
{
|
664 |
"epoch": 0.88,
|
665 |
-
"learning_rate": 2.
|
666 |
-
"logits/chosen":
|
667 |
-
"logits/rejected":
|
668 |
-
"logps/chosen": -
|
669 |
-
"logps/rejected": -
|
670 |
-
"loss": 0.
|
671 |
-
"rewards/accuracies": 0.
|
672 |
-
"rewards/chosen": -
|
673 |
-
"rewards/margins": 0.
|
674 |
-
"rewards/rejected": -
|
675 |
"step": 420
|
676 |
},
|
677 |
{
|
678 |
"epoch": 0.9,
|
679 |
-
"learning_rate": 1.
|
680 |
-
"logits/chosen":
|
681 |
-
"logits/rejected":
|
682 |
-
"logps/chosen": -
|
683 |
-
"logps/rejected": -
|
684 |
-
"loss": 0.
|
685 |
-
"rewards/accuracies": 0.
|
686 |
-
"rewards/chosen": -
|
687 |
-
"rewards/margins": 0.
|
688 |
-
"rewards/rejected": -
|
689 |
"step": 430
|
690 |
},
|
691 |
{
|
692 |
"epoch": 0.92,
|
693 |
-
"learning_rate": 9.
|
694 |
-
"logits/chosen":
|
695 |
-
"logits/rejected":
|
696 |
-
"logps/chosen": -
|
697 |
-
"logps/rejected": -
|
698 |
-
"loss": 0.
|
699 |
-
"rewards/accuracies": 0.
|
700 |
-
"rewards/chosen": -
|
701 |
-
"rewards/margins": 0.
|
702 |
-
"rewards/rejected": -
|
703 |
"step": 440
|
704 |
},
|
705 |
{
|
706 |
"epoch": 0.94,
|
707 |
-
"learning_rate":
|
708 |
-
"logits/chosen":
|
709 |
-
"logits/rejected":
|
710 |
-
"logps/chosen": -
|
711 |
-
"logps/rejected": -
|
712 |
-
"loss": 0.
|
713 |
-
"rewards/accuracies": 0.
|
714 |
-
"rewards/chosen": -
|
715 |
-
"rewards/margins": 0.
|
716 |
-
"rewards/rejected": -
|
717 |
"step": 450
|
718 |
},
|
719 |
{
|
720 |
"epoch": 0.96,
|
721 |
-
"learning_rate":
|
722 |
-
"logits/chosen":
|
723 |
-
"logits/rejected":
|
724 |
-
"logps/chosen": -
|
725 |
-
"logps/rejected": -
|
726 |
-
"loss": 0.
|
727 |
-
"rewards/accuracies": 0.
|
728 |
-
"rewards/chosen": -
|
729 |
-
"rewards/margins": 0.
|
730 |
-
"rewards/rejected": -
|
731 |
"step": 460
|
732 |
},
|
733 |
{
|
734 |
"epoch": 0.98,
|
735 |
-
"learning_rate":
|
736 |
-
"logits/chosen":
|
737 |
-
"logits/rejected":
|
738 |
-
"logps/chosen": -
|
739 |
-
"logps/rejected": -
|
740 |
-
"loss": 0.
|
741 |
-
"rewards/accuracies": 0.
|
742 |
-
"rewards/chosen": -
|
743 |
-
"rewards/margins": 0.
|
744 |
-
"rewards/rejected": -
|
745 |
"step": 470
|
746 |
},
|
747 |
{
|
748 |
"epoch": 1.0,
|
749 |
-
"step":
|
750 |
"total_flos": 0.0,
|
751 |
-
"train_loss": 0.
|
752 |
-
"train_runtime":
|
753 |
-
"train_samples_per_second":
|
754 |
-
"train_steps_per_second": 0.
|
755 |
}
|
756 |
],
|
757 |
"logging_steps": 10,
|
758 |
-
"max_steps":
|
759 |
"num_train_epochs": 1,
|
760 |
"save_steps": 1000,
|
761 |
"total_flos": 0.0,
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9984301412872841,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 477,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
"learning_rate": 1.0416666666666666e-08,
|
14 |
+
"logits/chosen": 0.07429073005914688,
|
15 |
+
"logits/rejected": 0.11598015576601028,
|
16 |
+
"logps/chosen": -422.86004638671875,
|
17 |
+
"logps/rejected": -414.8901672363281,
|
18 |
+
"loss": 0.1089,
|
19 |
"rewards/accuracies": 0.0,
|
20 |
"rewards/chosen": 0.0,
|
21 |
"rewards/margins": 0.0,
|
|
|
25 |
{
|
26 |
"epoch": 0.02,
|
27 |
"learning_rate": 1.0416666666666667e-07,
|
28 |
+
"logits/chosen": 0.30265143513679504,
|
29 |
+
"logits/rejected": 0.37510383129119873,
|
30 |
+
"logps/chosen": -376.6183166503906,
|
31 |
+
"logps/rejected": -346.707275390625,
|
32 |
+
"loss": 0.1038,
|
33 |
+
"rewards/accuracies": 0.3958333432674408,
|
34 |
+
"rewards/chosen": -0.0007193544879555702,
|
35 |
+
"rewards/margins": -0.00018897267000284046,
|
36 |
+
"rewards/rejected": -0.0005303816869854927,
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.04,
|
41 |
"learning_rate": 2.0833333333333333e-07,
|
42 |
+
"logits/chosen": 0.19012752175331116,
|
43 |
+
"logits/rejected": 0.29147377610206604,
|
44 |
+
"logps/chosen": -427.39190673828125,
|
45 |
+
"logps/rejected": -371.12261962890625,
|
46 |
+
"loss": 0.107,
|
47 |
+
"rewards/accuracies": 0.5,
|
48 |
+
"rewards/chosen": 0.0001767327485140413,
|
49 |
+
"rewards/margins": 0.0014846216654404998,
|
50 |
+
"rewards/rejected": -0.0013078890042379498,
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.06,
|
55 |
"learning_rate": 3.1249999999999997e-07,
|
56 |
+
"logits/chosen": 0.20171578228473663,
|
57 |
+
"logits/rejected": 0.31732800602912903,
|
58 |
+
"logps/chosen": -399.6023254394531,
|
59 |
+
"logps/rejected": -374.3086853027344,
|
60 |
+
"loss": 0.1094,
|
61 |
+
"rewards/accuracies": 0.581250011920929,
|
62 |
+
"rewards/chosen": -0.0014916183426976204,
|
63 |
+
"rewards/margins": 0.001707876450382173,
|
64 |
+
"rewards/rejected": -0.0031994946766644716,
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.08,
|
69 |
"learning_rate": 4.1666666666666667e-07,
|
70 |
+
"logits/chosen": 0.24505770206451416,
|
71 |
+
"logits/rejected": 0.3264174163341522,
|
72 |
+
"logps/chosen": -363.1432189941406,
|
73 |
+
"logps/rejected": -371.2718200683594,
|
74 |
+
"loss": 0.1094,
|
75 |
+
"rewards/accuracies": 0.6499999761581421,
|
76 |
+
"rewards/chosen": -0.0007695726817473769,
|
77 |
+
"rewards/margins": 0.006053343415260315,
|
78 |
+
"rewards/rejected": -0.006822916213423014,
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.1,
|
83 |
+
"learning_rate": 4.999731868769026e-07,
|
84 |
+
"logits/chosen": 0.26892322301864624,
|
85 |
+
"logits/rejected": 0.34712380170822144,
|
86 |
+
"logps/chosen": -378.1469421386719,
|
87 |
+
"logps/rejected": -348.55352783203125,
|
88 |
+
"loss": 0.105,
|
89 |
+
"rewards/accuracies": 0.668749988079071,
|
90 |
+
"rewards/chosen": -0.0007855228031985462,
|
91 |
+
"rewards/margins": 0.022909890860319138,
|
92 |
+
"rewards/rejected": -0.023695414885878563,
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.13,
|
97 |
+
"learning_rate": 4.990353313429303e-07,
|
98 |
+
"logits/chosen": 0.3134162127971649,
|
99 |
+
"logits/rejected": 0.36972466111183167,
|
100 |
+
"logps/chosen": -317.57965087890625,
|
101 |
+
"logps/rejected": -317.5392761230469,
|
102 |
+
"loss": 0.1049,
|
103 |
+
"rewards/accuracies": 0.65625,
|
104 |
+
"rewards/chosen": -0.008349133655428886,
|
105 |
+
"rewards/margins": 0.035110391676425934,
|
106 |
+
"rewards/rejected": -0.04345952719449997,
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.15,
|
111 |
+
"learning_rate": 4.967625656594781e-07,
|
112 |
+
"logits/chosen": 0.23508644104003906,
|
113 |
+
"logits/rejected": 0.30452126264572144,
|
114 |
+
"logps/chosen": -359.3031311035156,
|
115 |
+
"logps/rejected": -345.0860900878906,
|
116 |
+
"loss": 0.1082,
|
117 |
+
"rewards/accuracies": 0.625,
|
118 |
+
"rewards/chosen": -0.01529479306191206,
|
119 |
+
"rewards/margins": 0.044887155294418335,
|
120 |
+
"rewards/rejected": -0.06018194556236267,
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.17,
|
125 |
+
"learning_rate": 4.93167072587771e-07,
|
126 |
+
"logits/chosen": 0.33254843950271606,
|
127 |
+
"logits/rejected": 0.3818221688270569,
|
128 |
+
"logps/chosen": -367.01129150390625,
|
129 |
+
"logps/rejected": -355.1100158691406,
|
130 |
+
"loss": 0.1028,
|
131 |
+
"rewards/accuracies": 0.762499988079071,
|
132 |
+
"rewards/chosen": -0.01488255150616169,
|
133 |
+
"rewards/margins": 0.08553680032491684,
|
134 |
+
"rewards/rejected": -0.10041935741901398,
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.19,
|
139 |
+
"learning_rate": 4.882681251368548e-07,
|
140 |
+
"logits/chosen": 0.3798341751098633,
|
141 |
+
"logits/rejected": 0.4554978311061859,
|
142 |
+
"logps/chosen": -369.4306640625,
|
143 |
+
"logps/rejected": -350.7769470214844,
|
144 |
+
"loss": 0.1031,
|
145 |
+
"rewards/accuracies": 0.668749988079071,
|
146 |
+
"rewards/chosen": -0.04546991363167763,
|
147 |
+
"rewards/margins": 0.09270831197500229,
|
148 |
+
"rewards/rejected": -0.1381782442331314,
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.21,
|
153 |
+
"learning_rate": 4.820919832540181e-07,
|
154 |
+
"logits/chosen": 0.4522795081138611,
|
155 |
+
"logits/rejected": 0.5922520756721497,
|
156 |
+
"logps/chosen": -379.4673767089844,
|
157 |
+
"logps/rejected": -347.5188903808594,
|
158 |
+
"loss": 0.0993,
|
159 |
+
"rewards/accuracies": 0.6625000238418579,
|
160 |
+
"rewards/chosen": -0.062339335680007935,
|
161 |
+
"rewards/margins": 0.1438979208469391,
|
162 |
+
"rewards/rejected": -0.20623722672462463,
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.21,
|
167 |
+
"eval_logits/chosen": 0.5129754543304443,
|
168 |
+
"eval_logits/rejected": 0.5706519484519958,
|
169 |
+
"eval_logps/chosen": -366.9024963378906,
|
170 |
+
"eval_logps/rejected": -390.411865234375,
|
171 |
+
"eval_loss": 0.10182792693376541,
|
172 |
+
"eval_rewards/accuracies": 0.6875,
|
173 |
+
"eval_rewards/chosen": -0.07451306283473969,
|
174 |
+
"eval_rewards/margins": 0.17251166701316833,
|
175 |
+
"eval_rewards/rejected": -0.2470247447490692,
|
176 |
+
"eval_runtime": 75.2158,
|
177 |
+
"eval_samples_per_second": 26.59,
|
178 |
+
"eval_steps_per_second": 0.425,
|
179 |
"step": 100
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.23,
|
183 |
+
"learning_rate": 4.7467175306295647e-07,
|
184 |
+
"logits/chosen": 0.47333478927612305,
|
185 |
+
"logits/rejected": 0.5572434663772583,
|
186 |
+
"logps/chosen": -408.17938232421875,
|
187 |
+
"logps/rejected": -431.2904357910156,
|
188 |
+
"loss": 0.0955,
|
189 |
+
"rewards/accuracies": 0.731249988079071,
|
190 |
+
"rewards/chosen": -0.12534171342849731,
|
191 |
+
"rewards/margins": 0.16846705973148346,
|
192 |
+
"rewards/rejected": -0.2938087582588196,
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
"epoch": 0.25,
|
197 |
+
"learning_rate": 4.6604720940421207e-07,
|
198 |
+
"logits/chosen": 0.49355560541152954,
|
199 |
+
"logits/rejected": 0.625954270362854,
|
200 |
+
"logps/chosen": -393.81842041015625,
|
201 |
+
"logps/rejected": -401.51202392578125,
|
202 |
+
"loss": 0.0822,
|
203 |
+
"rewards/accuracies": 0.7124999761581421,
|
204 |
+
"rewards/chosen": -0.14783725142478943,
|
205 |
+
"rewards/margins": 0.23524054884910583,
|
206 |
+
"rewards/rejected": -0.38307780027389526,
|
207 |
"step": 120
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.27,
|
211 |
+
"learning_rate": 4.5626458262912735e-07,
|
212 |
+
"logits/chosen": 0.5241672396659851,
|
213 |
+
"logits/rejected": 0.8548004031181335,
|
214 |
+
"logps/chosen": -435.3441467285156,
|
215 |
+
"logps/rejected": -357.9606018066406,
|
216 |
+
"loss": 0.0797,
|
217 |
+
"rewards/accuracies": 0.606249988079071,
|
218 |
+
"rewards/chosen": -0.31069421768188477,
|
219 |
+
"rewards/margins": 0.1076047271490097,
|
220 |
+
"rewards/rejected": -0.41829895973205566,
|
221 |
"step": 130
|
222 |
},
|
223 |
{
|
224 |
"epoch": 0.29,
|
225 |
+
"learning_rate": 4.453763107901675e-07,
|
226 |
+
"logits/chosen": 0.5490397810935974,
|
227 |
+
"logits/rejected": 0.7539095282554626,
|
228 |
+
"logps/chosen": -413.84002685546875,
|
229 |
+
"logps/rejected": -386.32379150390625,
|
230 |
+
"loss": 0.0682,
|
231 |
+
"rewards/accuracies": 0.625,
|
232 |
+
"rewards/chosen": -0.3854388892650604,
|
233 |
+
"rewards/margins": 0.1845283955335617,
|
234 |
+
"rewards/rejected": -0.5699672698974609,
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.31,
|
239 |
+
"learning_rate": 4.3344075855595097e-07,
|
240 |
+
"logits/chosen": 0.6215056777000427,
|
241 |
+
"logits/rejected": 0.7831140756607056,
|
242 |
+
"logps/chosen": -419.662841796875,
|
243 |
+
"logps/rejected": -391.9927673339844,
|
244 |
+
"loss": 0.0704,
|
245 |
+
"rewards/accuracies": 0.65625,
|
246 |
+
"rewards/chosen": -0.35133233666419983,
|
247 |
+
"rewards/margins": 0.202161505818367,
|
248 |
+
"rewards/rejected": -0.553493857383728,
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.33,
|
253 |
+
"learning_rate": 4.2052190435769554e-07,
|
254 |
+
"logits/chosen": 0.7069424390792847,
|
255 |
+
"logits/rejected": 0.8614177703857422,
|
256 |
+
"logps/chosen": -384.68463134765625,
|
257 |
+
"logps/rejected": -374.79144287109375,
|
258 |
+
"loss": 0.0684,
|
259 |
+
"rewards/accuracies": 0.668749988079071,
|
260 |
+
"rewards/chosen": -0.2964687943458557,
|
261 |
+
"rewards/margins": 0.2469368427991867,
|
262 |
+
"rewards/rejected": -0.5434056520462036,
|
263 |
"step": 160
|
264 |
},
|
265 |
{
|
266 |
"epoch": 0.36,
|
267 |
+
"learning_rate": 4.0668899744407567e-07,
|
268 |
+
"logits/chosen": 0.6795724034309387,
|
269 |
+
"logits/rejected": 0.788532555103302,
|
270 |
+
"logps/chosen": -407.76092529296875,
|
271 |
+
"logps/rejected": -429.6249084472656,
|
272 |
+
"loss": 0.065,
|
273 |
+
"rewards/accuracies": 0.6875,
|
274 |
+
"rewards/chosen": -0.38756096363067627,
|
275 |
+
"rewards/margins": 0.3297034204006195,
|
276 |
+
"rewards/rejected": -0.7172644734382629,
|
277 |
"step": 170
|
278 |
},
|
279 |
{
|
280 |
"epoch": 0.38,
|
281 |
+
"learning_rate": 3.920161866827889e-07,
|
282 |
+
"logits/chosen": 0.6546531319618225,
|
283 |
+
"logits/rejected": 0.8610761761665344,
|
284 |
+
"logps/chosen": -399.92608642578125,
|
285 |
+
"logps/rejected": -425.089599609375,
|
286 |
+
"loss": 0.059,
|
287 |
+
"rewards/accuracies": 0.699999988079071,
|
288 |
+
"rewards/chosen": -0.45196419954299927,
|
289 |
+
"rewards/margins": 0.27189016342163086,
|
290 |
+
"rewards/rejected": -0.7238543033599854,
|
291 |
"step": 180
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.4,
|
295 |
+
"learning_rate": 3.765821230985757e-07,
|
296 |
+
"logits/chosen": 0.694263756275177,
|
297 |
+
"logits/rejected": 0.9027630090713501,
|
298 |
+
"logps/chosen": -411.06268310546875,
|
299 |
+
"logps/rejected": -397.81097412109375,
|
300 |
+
"loss": 0.0616,
|
301 |
+
"rewards/accuracies": 0.625,
|
302 |
+
"rewards/chosen": -0.46890345215797424,
|
303 |
+
"rewards/margins": 0.21999216079711914,
|
304 |
+
"rewards/rejected": -0.688895583152771,
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
"epoch": 0.42,
|
309 |
+
"learning_rate": 3.604695382782159e-07,
|
310 |
+
"logits/chosen": 0.6648334264755249,
|
311 |
+
"logits/rejected": 0.9266846776008606,
|
312 |
+
"logps/chosen": -450.61871337890625,
|
313 |
+
"logps/rejected": -451.17596435546875,
|
314 |
+
"loss": 0.0553,
|
315 |
+
"rewards/accuracies": 0.71875,
|
316 |
+
"rewards/chosen": -0.5313616394996643,
|
317 |
+
"rewards/margins": 0.4010355472564697,
|
318 |
+
"rewards/rejected": -0.9323970675468445,
|
319 |
"step": 200
|
320 |
},
|
321 |
{
|
322 |
"epoch": 0.42,
|
323 |
+
"eval_logits/chosen": 0.7755414247512817,
|
324 |
+
"eval_logits/rejected": 0.8994145393371582,
|
325 |
+
"eval_logps/chosen": -410.08349609375,
|
326 |
+
"eval_logps/rejected": -459.32171630859375,
|
327 |
+
"eval_loss": 0.05395492538809776,
|
328 |
+
"eval_rewards/accuracies": 0.73046875,
|
329 |
+
"eval_rewards/chosen": -0.5063228607177734,
|
330 |
+
"eval_rewards/margins": 0.42980003356933594,
|
331 |
+
"eval_rewards/rejected": -0.9361228942871094,
|
332 |
+
"eval_runtime": 75.0793,
|
333 |
+
"eval_samples_per_second": 26.638,
|
334 |
+
"eval_steps_per_second": 0.426,
|
335 |
"step": 200
|
336 |
},
|
337 |
{
|
338 |
"epoch": 0.44,
|
339 |
+
"learning_rate": 3.4376480090239047e-07,
|
340 |
+
"logits/chosen": 0.740880012512207,
|
341 |
+
"logits/rejected": 0.9735954999923706,
|
342 |
+
"logps/chosen": -407.00970458984375,
|
343 |
+
"logps/rejected": -405.5915832519531,
|
344 |
+
"loss": 0.0517,
|
345 |
+
"rewards/accuracies": 0.6187499761581421,
|
346 |
+
"rewards/chosen": -0.6327391266822815,
|
347 |
+
"rewards/margins": 0.24419736862182617,
|
348 |
+
"rewards/rejected": -0.8769365549087524,
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
"epoch": 0.46,
|
353 |
+
"learning_rate": 3.265574537815398e-07,
|
354 |
+
"logits/chosen": 0.5885998606681824,
|
355 |
+
"logits/rejected": 0.8313006162643433,
|
356 |
+
"logps/chosen": -449.39251708984375,
|
357 |
+
"logps/rejected": -427.76641845703125,
|
358 |
+
"loss": 0.0537,
|
359 |
+
"rewards/accuracies": 0.7124999761581421,
|
360 |
+
"rewards/chosen": -0.5039619207382202,
|
361 |
+
"rewards/margins": 0.33774858713150024,
|
362 |
+
"rewards/rejected": -0.8417104482650757,
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.48,
|
367 |
+
"learning_rate": 3.0893973387735683e-07,
|
368 |
+
"logits/chosen": 0.5277591347694397,
|
369 |
+
"logits/rejected": 0.7385606169700623,
|
370 |
+
"logps/chosen": -428.235595703125,
|
371 |
+
"logps/rejected": -417.846923828125,
|
372 |
+
"loss": 0.054,
|
373 |
+
"rewards/accuracies": 0.643750011920929,
|
374 |
+
"rewards/chosen": -0.5545467138290405,
|
375 |
+
"rewards/margins": 0.3285568654537201,
|
376 |
+
"rewards/rejected": -0.8831035494804382,
|
377 |
"step": 230
|
378 |
},
|
379 |
{
|
380 |
"epoch": 0.5,
|
381 |
+
"learning_rate": 2.910060778827554e-07,
|
382 |
+
"logits/chosen": 0.5636624693870544,
|
383 |
+
"logits/rejected": 0.7239071130752563,
|
384 |
+
"logps/chosen": -410.8172302246094,
|
385 |
+
"logps/rejected": -453.8780822753906,
|
386 |
+
"loss": 0.0517,
|
387 |
+
"rewards/accuracies": 0.625,
|
388 |
+
"rewards/chosen": -0.6257103085517883,
|
389 |
+
"rewards/margins": 0.3102150559425354,
|
390 |
+
"rewards/rejected": -0.9359253644943237,
|
391 |
"step": 240
|
392 |
},
|
393 |
{
|
394 |
"epoch": 0.52,
|
395 |
+
"learning_rate": 2.7285261601056697e-07,
|
396 |
+
"logits/chosen": 0.6507786512374878,
|
397 |
+
"logits/rejected": 0.7937926054000854,
|
398 |
+
"logps/chosen": -399.25531005859375,
|
399 |
+
"logps/rejected": -428.21173095703125,
|
400 |
+
"loss": 0.0482,
|
401 |
+
"rewards/accuracies": 0.71875,
|
402 |
+
"rewards/chosen": -0.5876737236976624,
|
403 |
+
"rewards/margins": 0.42669692635536194,
|
404 |
+
"rewards/rejected": -1.0143706798553467,
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.54,
|
409 |
+
"learning_rate": 2.5457665670441937e-07,
|
410 |
+
"logits/chosen": 0.7192268967628479,
|
411 |
+
"logits/rejected": 0.9365060925483704,
|
412 |
+
"logps/chosen": -442.73931884765625,
|
413 |
+
"logps/rejected": -429.482421875,
|
414 |
+
"loss": 0.0515,
|
415 |
+
"rewards/accuracies": 0.606249988079071,
|
416 |
+
"rewards/chosen": -0.7237201929092407,
|
417 |
+
"rewards/margins": 0.23805689811706543,
|
418 |
+
"rewards/rejected": -0.9617769122123718,
|
419 |
"step": 260
|
420 |
},
|
421 |
{
|
422 |
+
"epoch": 0.57,
|
423 |
+
"learning_rate": 2.3627616503391812e-07,
|
424 |
+
"logits/chosen": 0.8510295748710632,
|
425 |
+
"logits/rejected": 1.0050238370895386,
|
426 |
+
"logps/chosen": -445.4356384277344,
|
427 |
+
"logps/rejected": -501.38287353515625,
|
428 |
+
"loss": 0.0505,
|
429 |
+
"rewards/accuracies": 0.6499999761581421,
|
430 |
+
"rewards/chosen": -0.6589037179946899,
|
431 |
+
"rewards/margins": 0.45235753059387207,
|
432 |
+
"rewards/rejected": -1.111261248588562,
|
433 |
"step": 270
|
434 |
},
|
435 |
{
|
436 |
"epoch": 0.59,
|
437 |
+
"learning_rate": 2.1804923757009882e-07,
|
438 |
+
"logits/chosen": 0.7827587723731995,
|
439 |
+
"logits/rejected": 0.8751026391983032,
|
440 |
+
"logps/chosen": -394.4527282714844,
|
441 |
+
"logps/rejected": -438.7657165527344,
|
442 |
+
"loss": 0.0514,
|
443 |
+
"rewards/accuracies": 0.6937500238418579,
|
444 |
+
"rewards/chosen": -0.6062650084495544,
|
445 |
+
"rewards/margins": 0.3552294373512268,
|
446 |
+
"rewards/rejected": -0.9614945650100708,
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.61,
|
451 |
+
"learning_rate": 1.9999357655598891e-07,
|
452 |
+
"logits/chosen": 0.6437442898750305,
|
453 |
+
"logits/rejected": 0.9078620672225952,
|
454 |
+
"logps/chosen": -437.314697265625,
|
455 |
+
"logps/rejected": -448.2724609375,
|
456 |
+
"loss": 0.0493,
|
457 |
+
"rewards/accuracies": 0.675000011920929,
|
458 |
+
"rewards/chosen": -0.6567361950874329,
|
459 |
+
"rewards/margins": 0.38017868995666504,
|
460 |
+
"rewards/rejected": -1.0369149446487427,
|
461 |
"step": 290
|
462 |
},
|
463 |
{
|
464 |
"epoch": 0.63,
|
465 |
+
"learning_rate": 1.8220596619089573e-07,
|
466 |
+
"logits/chosen": 0.6364871263504028,
|
467 |
+
"logits/rejected": 0.8500644564628601,
|
468 |
+
"logps/chosen": -384.7347412109375,
|
469 |
+
"logps/rejected": -401.3032531738281,
|
470 |
+
"loss": 0.0503,
|
471 |
+
"rewards/accuracies": 0.6625000238418579,
|
472 |
+
"rewards/chosen": -0.5907383561134338,
|
473 |
+
"rewards/margins": 0.31186026334762573,
|
474 |
+
"rewards/rejected": -0.9025986790657043,
|
475 |
"step": 300
|
476 |
},
|
477 |
{
|
478 |
"epoch": 0.63,
|
479 |
+
"eval_logits/chosen": 0.6691160202026367,
|
480 |
+
"eval_logits/rejected": 0.8094965219497681,
|
481 |
+
"eval_logps/chosen": -412.98126220703125,
|
482 |
+
"eval_logps/rejected": -468.3688049316406,
|
483 |
+
"eval_loss": 0.05308157950639725,
|
484 |
+
"eval_rewards/accuracies": 0.74609375,
|
485 |
+
"eval_rewards/chosen": -0.5353004932403564,
|
486 |
+
"eval_rewards/margins": 0.4912930727005005,
|
487 |
+
"eval_rewards/rejected": -1.0265936851501465,
|
488 |
+
"eval_runtime": 75.2339,
|
489 |
+
"eval_samples_per_second": 26.584,
|
490 |
+
"eval_steps_per_second": 0.425,
|
491 |
"step": 300
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.65,
|
495 |
+
"learning_rate": 1.647817538357072e-07,
|
496 |
+
"logits/chosen": 0.5804156064987183,
|
497 |
+
"logits/rejected": 0.8023425936698914,
|
498 |
+
"logps/chosen": -431.28790283203125,
|
499 |
+
"logps/rejected": -459.8777770996094,
|
500 |
+
"loss": 0.0547,
|
501 |
+
"rewards/accuracies": 0.699999988079071,
|
502 |
+
"rewards/chosen": -0.5415506958961487,
|
503 |
+
"rewards/margins": 0.43213915824890137,
|
504 |
+
"rewards/rejected": -0.97368985414505,
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
"epoch": 0.67,
|
509 |
+
"learning_rate": 1.478143389201113e-07,
|
510 |
+
"logits/chosen": 0.5641556978225708,
|
511 |
+
"logits/rejected": 0.7904598712921143,
|
512 |
+
"logps/chosen": -419.69329833984375,
|
513 |
+
"logps/rejected": -420.63629150390625,
|
514 |
+
"loss": 0.0512,
|
515 |
+
"rewards/accuracies": 0.6812499761581421,
|
516 |
+
"rewards/chosen": -0.5348724126815796,
|
517 |
+
"rewards/margins": 0.3764938712120056,
|
518 |
+
"rewards/rejected": -0.9113662838935852,
|
519 |
"step": 320
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.69,
|
523 |
+
"learning_rate": 1.3139467229135998e-07,
|
524 |
+
"logits/chosen": 0.7080197334289551,
|
525 |
+
"logits/rejected": 0.8454129099845886,
|
526 |
+
"logps/chosen": -395.1232604980469,
|
527 |
+
"logps/rejected": -457.27978515625,
|
528 |
+
"loss": 0.0486,
|
529 |
+
"rewards/accuracies": 0.6625000238418579,
|
530 |
+
"rewards/chosen": -0.5784841775894165,
|
531 |
+
"rewards/margins": 0.39547181129455566,
|
532 |
+
"rewards/rejected": -0.9739561080932617,
|
533 |
"step": 330
|
534 |
},
|
535 |
{
|
536 |
"epoch": 0.71,
|
537 |
+
"learning_rate": 1.1561076868822755e-07,
|
538 |
+
"logits/chosen": 0.7032380700111389,
|
539 |
+
"logits/rejected": 0.8845696449279785,
|
540 |
+
"logps/chosen": -421.2705078125,
|
541 |
+
"logps/rejected": -432.5623474121094,
|
542 |
+
"loss": 0.0532,
|
543 |
"rewards/accuracies": 0.699999988079071,
|
544 |
+
"rewards/chosen": -0.6043194532394409,
|
545 |
+
"rewards/margins": 0.37815985083580017,
|
546 |
+
"rewards/rejected": -0.9824793934822083,
|
547 |
"step": 340
|
548 |
},
|
549 |
{
|
550 |
"epoch": 0.73,
|
551 |
+
"learning_rate": 1.0054723495346482e-07,
|
552 |
+
"logits/chosen": 0.7004996538162231,
|
553 |
+
"logits/rejected": 0.8182412981987,
|
554 |
+
"logps/chosen": -392.1104431152344,
|
555 |
+
"logps/rejected": -416.94415283203125,
|
556 |
+
"loss": 0.0467,
|
557 |
+
"rewards/accuracies": 0.637499988079071,
|
558 |
+
"rewards/chosen": -0.6616944074630737,
|
559 |
+
"rewards/margins": 0.3355887532234192,
|
560 |
+
"rewards/rejected": -0.9972831606864929,
|
561 |
"step": 350
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.75,
|
565 |
+
"learning_rate": 8.628481651367875e-08,
|
566 |
+
"logits/chosen": 0.6653555631637573,
|
567 |
+
"logits/rejected": 0.8546744585037231,
|
568 |
+
"logps/chosen": -370.65008544921875,
|
569 |
+
"logps/rejected": -413.5162048339844,
|
570 |
+
"loss": 0.0484,
|
571 |
+
"rewards/accuracies": 0.6937500238418579,
|
572 |
+
"rewards/chosen": -0.529220461845398,
|
573 |
+
"rewards/margins": 0.42656245827674866,
|
574 |
+
"rewards/rejected": -0.9557830095291138,
|
575 |
"step": 360
|
576 |
},
|
577 |
{
|
578 |
"epoch": 0.77,
|
579 |
+
"learning_rate": 7.289996455765748e-08,
|
580 |
+
"logits/chosen": 0.6534770131111145,
|
581 |
+
"logits/rejected": 0.7723512053489685,
|
582 |
+
"logps/chosen": -436.49346923828125,
|
583 |
+
"logps/rejected": -463.48577880859375,
|
584 |
+
"loss": 0.0486,
|
585 |
"rewards/accuracies": 0.71875,
|
586 |
+
"rewards/chosen": -0.5268007516860962,
|
587 |
+
"rewards/margins": 0.5095833539962769,
|
588 |
+
"rewards/rejected": -1.0363839864730835,
|
589 |
"step": 370
|
590 |
},
|
591 |
{
|
592 |
+
"epoch": 0.8,
|
593 |
+
"learning_rate": 6.046442623320145e-08,
|
594 |
+
"logits/chosen": 0.7045032978057861,
|
595 |
+
"logits/rejected": 0.7946165800094604,
|
596 |
+
"logps/chosen": -398.9028625488281,
|
597 |
+
"logps/rejected": -436.78515625,
|
598 |
+
"loss": 0.0499,
|
599 |
+
"rewards/accuracies": 0.7250000238418579,
|
600 |
+
"rewards/chosen": -0.5992251634597778,
|
601 |
+
"rewards/margins": 0.39836931228637695,
|
602 |
+
"rewards/rejected": -0.9975944757461548,
|
603 |
"step": 380
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.82,
|
607 |
+
"learning_rate": 4.904486005914027e-08,
|
608 |
+
"logits/chosen": 0.5793179869651794,
|
609 |
+
"logits/rejected": 0.7902762293815613,
|
610 |
+
"logps/chosen": -427.8744201660156,
|
611 |
+
"logps/rejected": -456.980224609375,
|
612 |
+
"loss": 0.0472,
|
613 |
+
"rewards/accuracies": 0.7250000238418579,
|
614 |
+
"rewards/chosen": -0.541319727897644,
|
615 |
+
"rewards/margins": 0.55488520860672,
|
616 |
+
"rewards/rejected": -1.0962049961090088,
|
617 |
"step": 390
|
618 |
},
|
619 |
{
|
620 |
"epoch": 0.84,
|
621 |
+
"learning_rate": 3.8702478614051345e-08,
|
622 |
+
"logits/chosen": 0.6567720174789429,
|
623 |
+
"logits/rejected": 0.8759796023368835,
|
624 |
+
"logps/chosen": -413.21124267578125,
|
625 |
+
"logps/rejected": -466.8826599121094,
|
626 |
+
"loss": 0.0537,
|
627 |
+
"rewards/accuracies": 0.668749988079071,
|
628 |
+
"rewards/chosen": -0.5818170309066772,
|
629 |
+
"rewards/margins": 0.48379120230674744,
|
630 |
+
"rewards/rejected": -1.065608263015747,
|
631 |
"step": 400
|
632 |
},
|
633 |
{
|
634 |
"epoch": 0.84,
|
635 |
+
"eval_logits/chosen": 0.7434472441673279,
|
636 |
+
"eval_logits/rejected": 0.8845732808113098,
|
637 |
+
"eval_logps/chosen": -416.42877197265625,
|
638 |
+
"eval_logps/rejected": -473.2190246582031,
|
639 |
+
"eval_loss": 0.05153993144631386,
|
640 |
+
"eval_rewards/accuracies": 0.73046875,
|
641 |
+
"eval_rewards/chosen": -0.5697759985923767,
|
642 |
+
"eval_rewards/margins": 0.5053197145462036,
|
643 |
+
"eval_rewards/rejected": -1.075095772743225,
|
644 |
+
"eval_runtime": 76.6604,
|
645 |
+
"eval_samples_per_second": 26.089,
|
646 |
+
"eval_steps_per_second": 0.417,
|
647 |
"step": 400
|
648 |
},
|
649 |
{
|
650 |
"epoch": 0.86,
|
651 |
+
"learning_rate": 2.9492720416985e-08,
|
652 |
+
"logits/chosen": 0.6941822171211243,
|
653 |
+
"logits/rejected": 0.8047625422477722,
|
654 |
+
"logps/chosen": -401.1028137207031,
|
655 |
+
"logps/rejected": -427.03302001953125,
|
656 |
+
"loss": 0.0478,
|
657 |
+
"rewards/accuracies": 0.6625000238418579,
|
658 |
+
"rewards/chosen": -0.576189398765564,
|
659 |
+
"rewards/margins": 0.39370283484458923,
|
660 |
+
"rewards/rejected": -0.969892144203186,
|
661 |
"step": 410
|
662 |
},
|
663 |
{
|
664 |
"epoch": 0.88,
|
665 |
+
"learning_rate": 2.1464952759020856e-08,
|
666 |
+
"logits/chosen": 0.7099225521087646,
|
667 |
+
"logits/rejected": 0.8760135769844055,
|
668 |
+
"logps/chosen": -388.6665954589844,
|
669 |
+
"logps/rejected": -421.422607421875,
|
670 |
+
"loss": 0.0477,
|
671 |
+
"rewards/accuracies": 0.6625000238418579,
|
672 |
+
"rewards/chosen": -0.5949358344078064,
|
673 |
+
"rewards/margins": 0.3995293378829956,
|
674 |
+
"rewards/rejected": -0.9944650530815125,
|
675 |
"step": 420
|
676 |
},
|
677 |
{
|
678 |
"epoch": 0.9,
|
679 |
+
"learning_rate": 1.4662207078575684e-08,
|
680 |
+
"logits/chosen": 0.6152527332305908,
|
681 |
+
"logits/rejected": 0.7688241600990295,
|
682 |
+
"logps/chosen": -453.6767578125,
|
683 |
+
"logps/rejected": -463.40863037109375,
|
684 |
+
"loss": 0.0527,
|
685 |
+
"rewards/accuracies": 0.699999988079071,
|
686 |
+
"rewards/chosen": -0.613703727722168,
|
687 |
+
"rewards/margins": 0.43121272325515747,
|
688 |
+
"rewards/rejected": -1.0449163913726807,
|
689 |
"step": 430
|
690 |
},
|
691 |
{
|
692 |
"epoch": 0.92,
|
693 |
+
"learning_rate": 9.12094829893642e-09,
|
694 |
+
"logits/chosen": 0.7038220167160034,
|
695 |
+
"logits/rejected": 0.8598071932792664,
|
696 |
+
"logps/chosen": -436.53082275390625,
|
697 |
+
"logps/rejected": -434.2837829589844,
|
698 |
+
"loss": 0.0484,
|
699 |
+
"rewards/accuracies": 0.6937500238418579,
|
700 |
+
"rewards/chosen": -0.6220607161521912,
|
701 |
+
"rewards/margins": 0.44049739837646484,
|
702 |
+
"rewards/rejected": -1.0625581741333008,
|
703 |
"step": 440
|
704 |
},
|
705 |
{
|
706 |
"epoch": 0.94,
|
707 |
+
"learning_rate": 4.8708793644441086e-09,
|
708 |
+
"logits/chosen": 0.6375268697738647,
|
709 |
+
"logits/rejected": 0.8610206842422485,
|
710 |
+
"logps/chosen": -462.42449951171875,
|
711 |
+
"logps/rejected": -464.8294372558594,
|
712 |
+
"loss": 0.0474,
|
713 |
+
"rewards/accuracies": 0.7124999761581421,
|
714 |
+
"rewards/chosen": -0.685294508934021,
|
715 |
+
"rewards/margins": 0.4343951344490051,
|
716 |
+
"rewards/rejected": -1.119689702987671,
|
717 |
"step": 450
|
718 |
},
|
719 |
{
|
720 |
"epoch": 0.96,
|
721 |
+
"learning_rate": 1.9347820230782295e-09,
|
722 |
+
"logits/chosen": 0.6665740013122559,
|
723 |
+
"logits/rejected": 0.8705039024353027,
|
724 |
+
"logps/chosen": -409.6141662597656,
|
725 |
+
"logps/rejected": -419.2763671875,
|
726 |
+
"loss": 0.0457,
|
727 |
+
"rewards/accuracies": 0.6812499761581421,
|
728 |
+
"rewards/chosen": -0.5975238084793091,
|
729 |
+
"rewards/margins": 0.3504991829395294,
|
730 |
+
"rewards/rejected": -0.9480230212211609,
|
731 |
"step": 460
|
732 |
},
|
733 |
{
|
734 |
"epoch": 0.98,
|
735 |
+
"learning_rate": 3.2839470889836627e-10,
|
736 |
+
"logits/chosen": 0.5994333028793335,
|
737 |
+
"logits/rejected": 0.8693232536315918,
|
738 |
+
"logps/chosen": -446.9803771972656,
|
739 |
+
"logps/rejected": -442.191650390625,
|
740 |
+
"loss": 0.0495,
|
741 |
+
"rewards/accuracies": 0.706250011920929,
|
742 |
+
"rewards/chosen": -0.5732464790344238,
|
743 |
+
"rewards/margins": 0.4613564610481262,
|
744 |
+
"rewards/rejected": -1.0346029996871948,
|
745 |
"step": 470
|
746 |
},
|
747 |
{
|
748 |
"epoch": 1.0,
|
749 |
+
"step": 477,
|
750 |
"total_flos": 0.0,
|
751 |
+
"train_loss": 0.06614070340397472,
|
752 |
+
"train_runtime": 4423.243,
|
753 |
+
"train_samples_per_second": 13.821,
|
754 |
+
"train_steps_per_second": 0.108
|
755 |
}
|
756 |
],
|
757 |
"logging_steps": 10,
|
758 |
+
"max_steps": 477,
|
759 |
"num_train_epochs": 1,
|
760 |
"save_steps": 1000,
|
761 |
"total_flos": 0.0,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5944
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c78334661030348bcfc61a245be57890af303020f8351feceea1b36f368cb134
|
3 |
size 5944
|