Model save
Browse files- README.md +60 -0
- all_results.json +9 -0
- config.json +26 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +9 -0
- trainer_state.json +1962 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: TTTXXX01/All_like-zephyr-7b-sft-full
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- dpo
|
7 |
+
- generated_from_trainer
|
8 |
+
model-index:
|
9 |
+
- name: DPO_shift2-zephyr-7b-sft-full
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# DPO_shift2-zephyr-7b-sft-full
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [TTTXXX01/All_like-zephyr-7b-sft-full](https://huggingface.co/TTTXXX01/All_like-zephyr-7b-sft-full) on an unknown dataset.
|
19 |
+
|
20 |
+
## Model description
|
21 |
+
|
22 |
+
More information needed
|
23 |
+
|
24 |
+
## Intended uses & limitations
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Training and evaluation data
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training procedure
|
33 |
+
|
34 |
+
### Training hyperparameters
|
35 |
+
|
36 |
+
The following hyperparameters were used during training:
|
37 |
+
- learning_rate: 5e-07
|
38 |
+
- train_batch_size: 6
|
39 |
+
- eval_batch_size: 4
|
40 |
+
- seed: 42
|
41 |
+
- distributed_type: multi-GPU
|
42 |
+
- num_devices: 4
|
43 |
+
- gradient_accumulation_steps: 2
|
44 |
+
- total_train_batch_size: 48
|
45 |
+
- total_eval_batch_size: 16
|
46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
+
- lr_scheduler_type: cosine
|
48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
49 |
+
- num_epochs: 1
|
50 |
+
|
51 |
+
### Training results
|
52 |
+
|
53 |
+
|
54 |
+
|
55 |
+
### Framework versions
|
56 |
+
|
57 |
+
- Transformers 4.41.2
|
58 |
+
- Pytorch 2.3.0+cu121
|
59 |
+
- Datasets 2.19.1
|
60 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.6281878652527718,
|
5 |
+
"train_runtime": 14442.3019,
|
6 |
+
"train_samples": 61135,
|
7 |
+
"train_samples_per_second": 4.233,
|
8 |
+
"train_steps_per_second": 0.088
|
9 |
+
}
|
config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "TTTXXX01/All_like-zephyr-7b-sft-full",
|
3 |
+
"architectures": [
|
4 |
+
"MistralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 1,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 14336,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"model_type": "mistral",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"rms_norm_eps": 1e-05,
|
19 |
+
"rope_theta": 10000.0,
|
20 |
+
"sliding_window": 4096,
|
21 |
+
"tie_word_embeddings": false,
|
22 |
+
"torch_dtype": "bfloat16",
|
23 |
+
"transformers_version": "4.41.2",
|
24 |
+
"use_cache": false,
|
25 |
+
"vocab_size": 32000
|
26 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.41.2"
|
6 |
+
}
|
model-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b3f2e54f1a8b97de519bd8e0f021ad111d354cf9ef6220196a4abb165d4ccd20
|
3 |
+
size 4943162336
|
model-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:311e1bc490517cb9eea80fdb76f01e1a4d6557024d5aeb2f9fec0de5e6d41575
|
3 |
+
size 4999819336
|
model-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8322517b78e1c1e08cc389ccac58e34ebbdce66c4988392f9af4245621212a89
|
3 |
+
size 4540516344
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 14483464192
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00003-of-00003.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
296 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
297 |
+
}
|
298 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"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 %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 2048,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.6281878652527718,
|
5 |
+
"train_runtime": 14442.3019,
|
6 |
+
"train_samples": 61135,
|
7 |
+
"train_samples_per_second": 4.233,
|
8 |
+
"train_steps_per_second": 0.088
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1962 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1274,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0007849293563579278,
|
13 |
+
"grad_norm": 6.093131966217363,
|
14 |
+
"learning_rate": 3.90625e-09,
|
15 |
+
"logits/chosen": 5914.52099609375,
|
16 |
+
"logits/rejected": 2785.021484375,
|
17 |
+
"logps/chosen": -212.45889282226562,
|
18 |
+
"logps/rejected": -98.59669494628906,
|
19 |
+
"loss": 0.6931,
|
20 |
+
"rewards/accuracies": 0.0,
|
21 |
+
"rewards/chosen": 0.0,
|
22 |
+
"rewards/margins": 0.0,
|
23 |
+
"rewards/rejected": 0.0,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.007849293563579277,
|
28 |
+
"grad_norm": 6.063672072770918,
|
29 |
+
"learning_rate": 3.9062499999999997e-08,
|
30 |
+
"logits/chosen": 4973.8095703125,
|
31 |
+
"logits/rejected": 4328.318359375,
|
32 |
+
"logps/chosen": -204.25518798828125,
|
33 |
+
"logps/rejected": -179.73281860351562,
|
34 |
+
"loss": 0.6931,
|
35 |
+
"rewards/accuracies": 0.5092592835426331,
|
36 |
+
"rewards/chosen": 0.02867966890335083,
|
37 |
+
"rewards/margins": 0.05586132034659386,
|
38 |
+
"rewards/rejected": -0.02718164585530758,
|
39 |
+
"step": 10
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.015698587127158554,
|
43 |
+
"grad_norm": 6.188456944981756,
|
44 |
+
"learning_rate": 7.812499999999999e-08,
|
45 |
+
"logits/chosen": 6084.14111328125,
|
46 |
+
"logits/rejected": 4834.31640625,
|
47 |
+
"logps/chosen": -217.20156860351562,
|
48 |
+
"logps/rejected": -196.7338104248047,
|
49 |
+
"loss": 0.6932,
|
50 |
+
"rewards/accuracies": 0.5416666865348816,
|
51 |
+
"rewards/chosen": 0.009626108221709728,
|
52 |
+
"rewards/margins": 0.029883313924074173,
|
53 |
+
"rewards/rejected": -0.020257214084267616,
|
54 |
+
"step": 20
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.023547880690737835,
|
58 |
+
"grad_norm": 5.474904458795652,
|
59 |
+
"learning_rate": 1.1718749999999999e-07,
|
60 |
+
"logits/chosen": 6084.2373046875,
|
61 |
+
"logits/rejected": 5105.03662109375,
|
62 |
+
"logps/chosen": -250.5583953857422,
|
63 |
+
"logps/rejected": -209.34817504882812,
|
64 |
+
"loss": 0.693,
|
65 |
+
"rewards/accuracies": 0.5083333253860474,
|
66 |
+
"rewards/chosen": 0.013943061232566833,
|
67 |
+
"rewards/margins": 0.0645134299993515,
|
68 |
+
"rewards/rejected": -0.05057036876678467,
|
69 |
+
"step": 30
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.03139717425431711,
|
73 |
+
"grad_norm": 5.700132865060452,
|
74 |
+
"learning_rate": 1.5624999999999999e-07,
|
75 |
+
"logits/chosen": 5311.515625,
|
76 |
+
"logits/rejected": 4346.8349609375,
|
77 |
+
"logps/chosen": -211.9991455078125,
|
78 |
+
"logps/rejected": -181.73727416992188,
|
79 |
+
"loss": 0.6928,
|
80 |
+
"rewards/accuracies": 0.6750000715255737,
|
81 |
+
"rewards/chosen": 0.08009053766727448,
|
82 |
+
"rewards/margins": 0.1303517371416092,
|
83 |
+
"rewards/rejected": -0.05026119947433472,
|
84 |
+
"step": 40
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.03924646781789639,
|
88 |
+
"grad_norm": 5.75968341286992,
|
89 |
+
"learning_rate": 1.9531249999999998e-07,
|
90 |
+
"logits/chosen": 6424.73291015625,
|
91 |
+
"logits/rejected": 5042.3193359375,
|
92 |
+
"logps/chosen": -265.3091735839844,
|
93 |
+
"logps/rejected": -206.7834014892578,
|
94 |
+
"loss": 0.6924,
|
95 |
+
"rewards/accuracies": 0.6750000715255737,
|
96 |
+
"rewards/chosen": 0.3174227178096771,
|
97 |
+
"rewards/margins": 0.4012085497379303,
|
98 |
+
"rewards/rejected": -0.08378583192825317,
|
99 |
+
"step": 50
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.04709576138147567,
|
103 |
+
"grad_norm": 5.546891159199977,
|
104 |
+
"learning_rate": 2.3437499999999998e-07,
|
105 |
+
"logits/chosen": 5484.2392578125,
|
106 |
+
"logits/rejected": 4559.8701171875,
|
107 |
+
"logps/chosen": -213.73947143554688,
|
108 |
+
"logps/rejected": -209.15982055664062,
|
109 |
+
"loss": 0.6918,
|
110 |
+
"rewards/accuracies": 0.6583333611488342,
|
111 |
+
"rewards/chosen": 0.26449495553970337,
|
112 |
+
"rewards/margins": 0.6242072582244873,
|
113 |
+
"rewards/rejected": -0.3597122132778168,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.054945054945054944,
|
118 |
+
"grad_norm": 5.331755041716918,
|
119 |
+
"learning_rate": 2.734375e-07,
|
120 |
+
"logits/chosen": 5194.4169921875,
|
121 |
+
"logits/rejected": 4918.47998046875,
|
122 |
+
"logps/chosen": -178.27944946289062,
|
123 |
+
"logps/rejected": -177.4241485595703,
|
124 |
+
"loss": 0.6911,
|
125 |
+
"rewards/accuracies": 0.6666667461395264,
|
126 |
+
"rewards/chosen": 0.2014751136302948,
|
127 |
+
"rewards/margins": 0.8939019441604614,
|
128 |
+
"rewards/rejected": -0.6924268007278442,
|
129 |
+
"step": 70
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.06279434850863422,
|
133 |
+
"grad_norm": 5.584999261034571,
|
134 |
+
"learning_rate": 3.1249999999999997e-07,
|
135 |
+
"logits/chosen": 5774.71337890625,
|
136 |
+
"logits/rejected": 5269.7578125,
|
137 |
+
"logps/chosen": -196.8366241455078,
|
138 |
+
"logps/rejected": -183.1029815673828,
|
139 |
+
"loss": 0.6888,
|
140 |
+
"rewards/accuracies": 0.6583333015441895,
|
141 |
+
"rewards/chosen": -0.26804548501968384,
|
142 |
+
"rewards/margins": 1.244419813156128,
|
143 |
+
"rewards/rejected": -1.5124653577804565,
|
144 |
+
"step": 80
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.0706436420722135,
|
148 |
+
"grad_norm": 6.357864437998398,
|
149 |
+
"learning_rate": 3.5156249999999997e-07,
|
150 |
+
"logits/chosen": 6036.94384765625,
|
151 |
+
"logits/rejected": 5178.0302734375,
|
152 |
+
"logps/chosen": -220.6177520751953,
|
153 |
+
"logps/rejected": -191.21290588378906,
|
154 |
+
"loss": 0.6847,
|
155 |
+
"rewards/accuracies": 0.7583333253860474,
|
156 |
+
"rewards/chosen": -1.735548973083496,
|
157 |
+
"rewards/margins": 5.033526420593262,
|
158 |
+
"rewards/rejected": -6.769075870513916,
|
159 |
+
"step": 90
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.07849293563579278,
|
163 |
+
"grad_norm": 7.040364327766666,
|
164 |
+
"learning_rate": 3.9062499999999997e-07,
|
165 |
+
"logits/chosen": 5949.79296875,
|
166 |
+
"logits/rejected": 5727.5908203125,
|
167 |
+
"logps/chosen": -216.8369140625,
|
168 |
+
"logps/rejected": -212.58670043945312,
|
169 |
+
"loss": 0.6839,
|
170 |
+
"rewards/accuracies": 0.6583333611488342,
|
171 |
+
"rewards/chosen": -6.606234073638916,
|
172 |
+
"rewards/margins": 6.538748264312744,
|
173 |
+
"rewards/rejected": -13.144981384277344,
|
174 |
+
"step": 100
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.08634222919937205,
|
178 |
+
"grad_norm": 6.763596378595654,
|
179 |
+
"learning_rate": 4.2968749999999996e-07,
|
180 |
+
"logits/chosen": 6423.328125,
|
181 |
+
"logits/rejected": 5241.2958984375,
|
182 |
+
"logps/chosen": -198.6194305419922,
|
183 |
+
"logps/rejected": -202.97906494140625,
|
184 |
+
"loss": 0.6778,
|
185 |
+
"rewards/accuracies": 0.6583333611488342,
|
186 |
+
"rewards/chosen": -15.504582405090332,
|
187 |
+
"rewards/margins": 8.482271194458008,
|
188 |
+
"rewards/rejected": -23.986852645874023,
|
189 |
+
"step": 110
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.09419152276295134,
|
193 |
+
"grad_norm": 10.481073772174538,
|
194 |
+
"learning_rate": 4.6874999999999996e-07,
|
195 |
+
"logits/chosen": 6349.3115234375,
|
196 |
+
"logits/rejected": 5272.1162109375,
|
197 |
+
"logps/chosen": -227.03030395507812,
|
198 |
+
"logps/rejected": -234.8236846923828,
|
199 |
+
"loss": 0.672,
|
200 |
+
"rewards/accuracies": 0.625,
|
201 |
+
"rewards/chosen": -24.193578720092773,
|
202 |
+
"rewards/margins": 12.465006828308105,
|
203 |
+
"rewards/rejected": -36.65858840942383,
|
204 |
+
"step": 120
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.10204081632653061,
|
208 |
+
"grad_norm": 8.025924997034352,
|
209 |
+
"learning_rate": 4.999962424962166e-07,
|
210 |
+
"logits/chosen": 6358.8583984375,
|
211 |
+
"logits/rejected": 5857.8310546875,
|
212 |
+
"logps/chosen": -239.5376434326172,
|
213 |
+
"logps/rejected": -246.1665496826172,
|
214 |
+
"loss": 0.6658,
|
215 |
+
"rewards/accuracies": 0.6833333373069763,
|
216 |
+
"rewards/chosen": -29.729150772094727,
|
217 |
+
"rewards/margins": 18.7928466796875,
|
218 |
+
"rewards/rejected": -48.521995544433594,
|
219 |
+
"step": 130
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.10989010989010989,
|
223 |
+
"grad_norm": 9.521563540986381,
|
224 |
+
"learning_rate": 4.998647417232375e-07,
|
225 |
+
"logits/chosen": 6323.96923828125,
|
226 |
+
"logits/rejected": 5568.6796875,
|
227 |
+
"logps/chosen": -233.1209259033203,
|
228 |
+
"logps/rejected": -242.63882446289062,
|
229 |
+
"loss": 0.6641,
|
230 |
+
"rewards/accuracies": 0.6500000357627869,
|
231 |
+
"rewards/chosen": -47.453453063964844,
|
232 |
+
"rewards/margins": 17.59344482421875,
|
233 |
+
"rewards/rejected": -65.04689025878906,
|
234 |
+
"step": 140
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.11773940345368916,
|
238 |
+
"grad_norm": 12.644608831856553,
|
239 |
+
"learning_rate": 4.995454786965036e-07,
|
240 |
+
"logits/chosen": 6541.3330078125,
|
241 |
+
"logits/rejected": 5415.2822265625,
|
242 |
+
"logps/chosen": -245.84255981445312,
|
243 |
+
"logps/rejected": -239.1229705810547,
|
244 |
+
"loss": 0.6607,
|
245 |
+
"rewards/accuracies": 0.6916667222976685,
|
246 |
+
"rewards/chosen": -44.15815734863281,
|
247 |
+
"rewards/margins": 22.66707992553711,
|
248 |
+
"rewards/rejected": -66.82524108886719,
|
249 |
+
"step": 150
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.12558869701726844,
|
253 |
+
"grad_norm": 8.265424491202015,
|
254 |
+
"learning_rate": 4.990386933279972e-07,
|
255 |
+
"logits/chosen": 6377.3125,
|
256 |
+
"logits/rejected": 5663.359375,
|
257 |
+
"logps/chosen": -241.92959594726562,
|
258 |
+
"logps/rejected": -266.5514831542969,
|
259 |
+
"loss": 0.6574,
|
260 |
+
"rewards/accuracies": 0.6916667222976685,
|
261 |
+
"rewards/chosen": -44.40141296386719,
|
262 |
+
"rewards/margins": 25.092517852783203,
|
263 |
+
"rewards/rejected": -69.4939193725586,
|
264 |
+
"step": 160
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.13343799058084774,
|
268 |
+
"grad_norm": 9.232273980396416,
|
269 |
+
"learning_rate": 4.983447664444096e-07,
|
270 |
+
"logits/chosen": 6607.70947265625,
|
271 |
+
"logits/rejected": 5855.15625,
|
272 |
+
"logps/chosen": -261.1861267089844,
|
273 |
+
"logps/rejected": -268.4610900878906,
|
274 |
+
"loss": 0.6564,
|
275 |
+
"rewards/accuracies": 0.6666666865348816,
|
276 |
+
"rewards/chosen": -51.56547927856445,
|
277 |
+
"rewards/margins": 20.574033737182617,
|
278 |
+
"rewards/rejected": -72.13951110839844,
|
279 |
+
"step": 170
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.141287284144427,
|
283 |
+
"grad_norm": 9.866448872437736,
|
284 |
+
"learning_rate": 4.97464219500968e-07,
|
285 |
+
"logits/chosen": 5737.3740234375,
|
286 |
+
"logits/rejected": 4962.4228515625,
|
287 |
+
"logps/chosen": -247.4786834716797,
|
288 |
+
"logps/rejected": -266.4071960449219,
|
289 |
+
"loss": 0.6521,
|
290 |
+
"rewards/accuracies": 0.6916667222976685,
|
291 |
+
"rewards/chosen": -58.9509162902832,
|
292 |
+
"rewards/margins": 29.29502296447754,
|
293 |
+
"rewards/rejected": -88.24593353271484,
|
294 |
+
"step": 180
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.14913657770800628,
|
298 |
+
"grad_norm": 8.7062689635517,
|
299 |
+
"learning_rate": 4.963977141895843e-07,
|
300 |
+
"logits/chosen": 5834.91796875,
|
301 |
+
"logits/rejected": 4950.6669921875,
|
302 |
+
"logps/chosen": -265.50799560546875,
|
303 |
+
"logps/rejected": -303.29736328125,
|
304 |
+
"loss": 0.6419,
|
305 |
+
"rewards/accuracies": 0.75,
|
306 |
+
"rewards/chosen": -61.749046325683594,
|
307 |
+
"rewards/margins": 50.30883026123047,
|
308 |
+
"rewards/rejected": -112.05787658691406,
|
309 |
+
"step": 190
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.15698587127158556,
|
313 |
+
"grad_norm": 10.780388842430504,
|
314 |
+
"learning_rate": 4.951460519416227e-07,
|
315 |
+
"logits/chosen": 5741.23486328125,
|
316 |
+
"logits/rejected": 5287.05322265625,
|
317 |
+
"logps/chosen": -251.54641723632812,
|
318 |
+
"logps/rejected": -304.95709228515625,
|
319 |
+
"loss": 0.6438,
|
320 |
+
"rewards/accuracies": 0.7416666746139526,
|
321 |
+
"rewards/chosen": -69.00214385986328,
|
322 |
+
"rewards/margins": 39.283905029296875,
|
323 |
+
"rewards/rejected": -108.28604888916016,
|
324 |
+
"step": 200
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.16483516483516483,
|
328 |
+
"grad_norm": 17.073665708890324,
|
329 |
+
"learning_rate": 4.937101733256606e-07,
|
330 |
+
"logits/chosen": 5240.689453125,
|
331 |
+
"logits/rejected": 4608.19482421875,
|
332 |
+
"logps/chosen": -215.47265625,
|
333 |
+
"logps/rejected": -251.48239135742188,
|
334 |
+
"loss": 0.6445,
|
335 |
+
"rewards/accuracies": 0.6833332777023315,
|
336 |
+
"rewards/chosen": -61.55937957763672,
|
337 |
+
"rewards/margins": 32.7420539855957,
|
338 |
+
"rewards/rejected": -94.30143737792969,
|
339 |
+
"step": 210
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.1726844583987441,
|
343 |
+
"grad_norm": 12.221014555466162,
|
344 |
+
"learning_rate": 4.920911573406924e-07,
|
345 |
+
"logits/chosen": 6383.455078125,
|
346 |
+
"logits/rejected": 5361.6767578125,
|
347 |
+
"logps/chosen": -253.47500610351562,
|
348 |
+
"logps/rejected": -262.1346435546875,
|
349 |
+
"loss": 0.6407,
|
350 |
+
"rewards/accuracies": 0.7083333730697632,
|
351 |
+
"rewards/chosen": -57.13840866088867,
|
352 |
+
"rewards/margins": 40.999515533447266,
|
353 |
+
"rewards/rejected": -98.13792419433594,
|
354 |
+
"step": 220
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.18053375196232338,
|
358 |
+
"grad_norm": 13.329208345468095,
|
359 |
+
"learning_rate": 4.902902206053098e-07,
|
360 |
+
"logits/chosen": 5734.9677734375,
|
361 |
+
"logits/rejected": 5143.1357421875,
|
362 |
+
"logps/chosen": -279.87896728515625,
|
363 |
+
"logps/rejected": -315.6455078125,
|
364 |
+
"loss": 0.6407,
|
365 |
+
"rewards/accuracies": 0.699999988079071,
|
366 |
+
"rewards/chosen": -92.54025268554688,
|
367 |
+
"rewards/margins": 43.33777618408203,
|
368 |
+
"rewards/rejected": -135.87803649902344,
|
369 |
+
"step": 230
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.18838304552590268,
|
373 |
+
"grad_norm": 10.653934386649361,
|
374 |
+
"learning_rate": 4.883087164434672e-07,
|
375 |
+
"logits/chosen": 5146.69921875,
|
376 |
+
"logits/rejected": 4056.839111328125,
|
377 |
+
"logps/chosen": -252.93594360351562,
|
378 |
+
"logps/rejected": -288.0379943847656,
|
379 |
+
"loss": 0.6314,
|
380 |
+
"rewards/accuracies": 0.6916667222976685,
|
381 |
+
"rewards/chosen": -85.30692291259766,
|
382 |
+
"rewards/margins": 48.041629791259766,
|
383 |
+
"rewards/rejected": -133.34857177734375,
|
384 |
+
"step": 240
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.19623233908948196,
|
388 |
+
"grad_norm": 13.800858939449958,
|
389 |
+
"learning_rate": 4.861481338675183e-07,
|
390 |
+
"logits/chosen": 6170.0908203125,
|
391 |
+
"logits/rejected": 5447.45458984375,
|
392 |
+
"logps/chosen": -256.0116271972656,
|
393 |
+
"logps/rejected": -326.3557434082031,
|
394 |
+
"loss": 0.6432,
|
395 |
+
"rewards/accuracies": 0.6750000715255737,
|
396 |
+
"rewards/chosen": -88.86774444580078,
|
397 |
+
"rewards/margins": 52.98130416870117,
|
398 |
+
"rewards/rejected": -141.8490447998047,
|
399 |
+
"step": 250
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.20408163265306123,
|
403 |
+
"grad_norm": 16.199410438264415,
|
404 |
+
"learning_rate": 4.838100964592904e-07,
|
405 |
+
"logits/chosen": 6424.16455078125,
|
406 |
+
"logits/rejected": 5117.61083984375,
|
407 |
+
"logps/chosen": -273.86700439453125,
|
408 |
+
"logps/rejected": -284.8200378417969,
|
409 |
+
"loss": 0.6465,
|
410 |
+
"rewards/accuracies": 0.7583333849906921,
|
411 |
+
"rewards/chosen": -74.1485824584961,
|
412 |
+
"rewards/margins": 44.447505950927734,
|
413 |
+
"rewards/rejected": -118.59608459472656,
|
414 |
+
"step": 260
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.2119309262166405,
|
418 |
+
"grad_norm": 11.286813732099095,
|
419 |
+
"learning_rate": 4.812963611500339e-07,
|
420 |
+
"logits/chosen": 6215.70947265625,
|
421 |
+
"logits/rejected": 5984.4306640625,
|
422 |
+
"logps/chosen": -285.27606201171875,
|
423 |
+
"logps/rejected": -319.1112365722656,
|
424 |
+
"loss": 0.6303,
|
425 |
+
"rewards/accuracies": 0.6916666626930237,
|
426 |
+
"rewards/chosen": -88.52018737792969,
|
427 |
+
"rewards/margins": 41.961997985839844,
|
428 |
+
"rewards/rejected": -130.48216247558594,
|
429 |
+
"step": 270
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.21978021978021978,
|
433 |
+
"grad_norm": 16.531534462677037,
|
434 |
+
"learning_rate": 4.786088169001671e-07,
|
435 |
+
"logits/chosen": 5287.22216796875,
|
436 |
+
"logits/rejected": 4560.978515625,
|
437 |
+
"logps/chosen": -243.2444305419922,
|
438 |
+
"logps/rejected": -313.148193359375,
|
439 |
+
"loss": 0.6282,
|
440 |
+
"rewards/accuracies": 0.75,
|
441 |
+
"rewards/chosen": -80.0935287475586,
|
442 |
+
"rewards/margins": 63.753204345703125,
|
443 |
+
"rewards/rejected": -143.8467559814453,
|
444 |
+
"step": 280
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.22762951334379905,
|
448 |
+
"grad_norm": 16.90462731667777,
|
449 |
+
"learning_rate": 4.7574948327980567e-07,
|
450 |
+
"logits/chosen": 7445.8447265625,
|
451 |
+
"logits/rejected": 5403.94482421875,
|
452 |
+
"logps/chosen": -331.681884765625,
|
453 |
+
"logps/rejected": -354.81011962890625,
|
454 |
+
"loss": 0.6276,
|
455 |
+
"rewards/accuracies": 0.783333420753479,
|
456 |
+
"rewards/chosen": -94.65342712402344,
|
457 |
+
"rewards/margins": 77.64093780517578,
|
458 |
+
"rewards/rejected": -172.29437255859375,
|
459 |
+
"step": 290
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.23547880690737832,
|
463 |
+
"grad_norm": 13.245971629591574,
|
464 |
+
"learning_rate": 4.727205089511466e-07,
|
465 |
+
"logits/chosen": 5381.85302734375,
|
466 |
+
"logits/rejected": 5297.11083984375,
|
467 |
+
"logps/chosen": -255.672607421875,
|
468 |
+
"logps/rejected": -314.2789611816406,
|
469 |
+
"loss": 0.636,
|
470 |
+
"rewards/accuracies": 0.7333333492279053,
|
471 |
+
"rewards/chosen": -88.2001724243164,
|
472 |
+
"rewards/margins": 55.892372131347656,
|
473 |
+
"rewards/rejected": -144.09254455566406,
|
474 |
+
"step": 300
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.24332810047095763,
|
478 |
+
"grad_norm": 12.146215443307637,
|
479 |
+
"learning_rate": 4.6952417005384247e-07,
|
480 |
+
"logits/chosen": 6014.71875,
|
481 |
+
"logits/rejected": 5335.70556640625,
|
482 |
+
"logps/chosen": -260.8976745605469,
|
483 |
+
"logps/rejected": -300.9578857421875,
|
484 |
+
"loss": 0.6408,
|
485 |
+
"rewards/accuracies": 0.6833333373069763,
|
486 |
+
"rewards/chosen": -83.31695556640625,
|
487 |
+
"rewards/margins": 42.17268753051758,
|
488 |
+
"rewards/rejected": -125.4896469116211,
|
489 |
+
"step": 310
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.25117739403453687,
|
493 |
+
"grad_norm": 13.90650852576195,
|
494 |
+
"learning_rate": 4.661628684945851e-07,
|
495 |
+
"logits/chosen": 5960.9345703125,
|
496 |
+
"logits/rejected": 5119.1533203125,
|
497 |
+
"logps/chosen": -308.49700927734375,
|
498 |
+
"logps/rejected": -376.7956848144531,
|
499 |
+
"loss": 0.6322,
|
500 |
+
"rewards/accuracies": 0.7333333492279053,
|
501 |
+
"rewards/chosen": -107.44000244140625,
|
502 |
+
"rewards/margins": 67.33781433105469,
|
503 |
+
"rewards/rejected": -174.77781677246094,
|
504 |
+
"step": 320
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.25902668759811615,
|
508 |
+
"grad_norm": 18.153298332822626,
|
509 |
+
"learning_rate": 4.626391301421782e-07,
|
510 |
+
"logits/chosen": 5755.26318359375,
|
511 |
+
"logits/rejected": 5219.13671875,
|
512 |
+
"logps/chosen": -295.9870300292969,
|
513 |
+
"logps/rejected": -321.1059265136719,
|
514 |
+
"loss": 0.643,
|
515 |
+
"rewards/accuracies": 0.7333333492279053,
|
516 |
+
"rewards/chosen": -101.53385925292969,
|
517 |
+
"rewards/margins": 42.24925994873047,
|
518 |
+
"rewards/rejected": -143.78311157226562,
|
519 |
+
"step": 330
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.2668759811616955,
|
523 |
+
"grad_norm": 10.626065491733366,
|
524 |
+
"learning_rate": 4.5895560292945996e-07,
|
525 |
+
"logits/chosen": 6115.3408203125,
|
526 |
+
"logits/rejected": 6242.7255859375,
|
527 |
+
"logps/chosen": -266.7374267578125,
|
528 |
+
"logps/rejected": -334.5285949707031,
|
529 |
+
"loss": 0.6505,
|
530 |
+
"rewards/accuracies": 0.7166666984558105,
|
531 |
+
"rewards/chosen": -72.87915802001953,
|
532 |
+
"rewards/margins": 41.2818717956543,
|
533 |
+
"rewards/rejected": -114.16102600097656,
|
534 |
+
"step": 340
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.27472527472527475,
|
538 |
+
"grad_norm": 19.123518096220113,
|
539 |
+
"learning_rate": 4.5511505486349865e-07,
|
540 |
+
"logits/chosen": 6534.66162109375,
|
541 |
+
"logits/rejected": 5885.20654296875,
|
542 |
+
"logps/chosen": -251.6634979248047,
|
543 |
+
"logps/rejected": -319.6004943847656,
|
544 |
+
"loss": 0.628,
|
545 |
+
"rewards/accuracies": 0.7749999761581421,
|
546 |
+
"rewards/chosen": -56.837799072265625,
|
547 |
+
"rewards/margins": 55.940704345703125,
|
548 |
+
"rewards/rejected": -112.77848815917969,
|
549 |
+
"step": 350
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.282574568288854,
|
553 |
+
"grad_norm": 14.298240994707886,
|
554 |
+
"learning_rate": 4.5112037194555876e-07,
|
555 |
+
"logits/chosen": 6060.9228515625,
|
556 |
+
"logits/rejected": 5880.5185546875,
|
557 |
+
"logps/chosen": -276.15887451171875,
|
558 |
+
"logps/rejected": -374.9804992675781,
|
559 |
+
"loss": 0.626,
|
560 |
+
"rewards/accuracies": 0.800000011920929,
|
561 |
+
"rewards/chosen": -98.23542785644531,
|
562 |
+
"rewards/margins": 77.46324920654297,
|
563 |
+
"rewards/rejected": -175.6986846923828,
|
564 |
+
"step": 360
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.2904238618524333,
|
568 |
+
"grad_norm": 14.585395330021852,
|
569 |
+
"learning_rate": 4.4697455600239863e-07,
|
570 |
+
"logits/chosen": 5437.0537109375,
|
571 |
+
"logits/rejected": 5045.03271484375,
|
572 |
+
"logps/chosen": -286.1153564453125,
|
573 |
+
"logps/rejected": -318.96649169921875,
|
574 |
+
"loss": 0.6403,
|
575 |
+
"rewards/accuracies": 0.699999988079071,
|
576 |
+
"rewards/chosen": -101.69328308105469,
|
577 |
+
"rewards/margins": 49.202125549316406,
|
578 |
+
"rewards/rejected": -150.89541625976562,
|
579 |
+
"step": 370
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.29827315541601257,
|
583 |
+
"grad_norm": 12.011840689440003,
|
584 |
+
"learning_rate": 4.426807224305315e-07,
|
585 |
+
"logits/chosen": 6565.9169921875,
|
586 |
+
"logits/rejected": 5335.61669921875,
|
587 |
+
"logps/chosen": -314.1622009277344,
|
588 |
+
"logps/rejected": -326.3265380859375,
|
589 |
+
"loss": 0.6373,
|
590 |
+
"rewards/accuracies": 0.7333333492279053,
|
591 |
+
"rewards/chosen": -85.82119750976562,
|
592 |
+
"rewards/margins": 57.495765686035156,
|
593 |
+
"rewards/rejected": -143.3169708251953,
|
594 |
+
"step": 380
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.30612244897959184,
|
598 |
+
"grad_norm": 14.603970390337606,
|
599 |
+
"learning_rate": 4.3824209785514326e-07,
|
600 |
+
"logits/chosen": 6679.51708984375,
|
601 |
+
"logits/rejected": 5036.5615234375,
|
602 |
+
"logps/chosen": -299.2738342285156,
|
603 |
+
"logps/rejected": -336.33966064453125,
|
604 |
+
"loss": 0.6334,
|
605 |
+
"rewards/accuracies": 0.7416666746139526,
|
606 |
+
"rewards/chosen": -83.78034210205078,
|
607 |
+
"rewards/margins": 72.7061767578125,
|
608 |
+
"rewards/rejected": -156.4865264892578,
|
609 |
+
"step": 390
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.3139717425431711,
|
613 |
+
"grad_norm": 12.263570083382138,
|
614 |
+
"learning_rate": 4.3366201770542687e-07,
|
615 |
+
"logits/chosen": 5716.26025390625,
|
616 |
+
"logits/rejected": 5553.00634765625,
|
617 |
+
"logps/chosen": -288.0743713378906,
|
618 |
+
"logps/rejected": -344.66259765625,
|
619 |
+
"loss": 0.6377,
|
620 |
+
"rewards/accuracies": 0.7583333253860474,
|
621 |
+
"rewards/chosen": -97.28577423095703,
|
622 |
+
"rewards/margins": 58.6373176574707,
|
623 |
+
"rewards/rejected": -155.92308044433594,
|
624 |
+
"step": 400
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.3218210361067504,
|
628 |
+
"grad_norm": 30.10421699468723,
|
629 |
+
"learning_rate": 4.2894392370815567e-07,
|
630 |
+
"logits/chosen": 6109.4443359375,
|
631 |
+
"logits/rejected": 5399.1669921875,
|
632 |
+
"logps/chosen": -343.89434814453125,
|
633 |
+
"logps/rejected": -421.060302734375,
|
634 |
+
"loss": 0.6049,
|
635 |
+
"rewards/accuracies": 0.7833333015441895,
|
636 |
+
"rewards/chosen": -131.40748596191406,
|
637 |
+
"rewards/margins": 81.200439453125,
|
638 |
+
"rewards/rejected": -212.60791015625,
|
639 |
+
"step": 410
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.32967032967032966,
|
643 |
+
"grad_norm": 23.67201136623266,
|
644 |
+
"learning_rate": 4.2409136130137845e-07,
|
645 |
+
"logits/chosen": 5768.19677734375,
|
646 |
+
"logits/rejected": 5116.79296875,
|
647 |
+
"logps/chosen": -338.7046203613281,
|
648 |
+
"logps/rejected": -397.24517822265625,
|
649 |
+
"loss": 0.6238,
|
650 |
+
"rewards/accuracies": 0.75,
|
651 |
+
"rewards/chosen": -134.6746826171875,
|
652 |
+
"rewards/margins": 81.32905578613281,
|
653 |
+
"rewards/rejected": -216.00375366210938,
|
654 |
+
"step": 420
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.33751962323390894,
|
658 |
+
"grad_norm": 17.987511578768668,
|
659 |
+
"learning_rate": 4.1910797697018017e-07,
|
660 |
+
"logits/chosen": 5607.255859375,
|
661 |
+
"logits/rejected": 4614.8291015625,
|
662 |
+
"logps/chosen": -280.25738525390625,
|
663 |
+
"logps/rejected": -348.2909240722656,
|
664 |
+
"loss": 0.6312,
|
665 |
+
"rewards/accuracies": 0.8416666984558105,
|
666 |
+
"rewards/chosen": -100.51243591308594,
|
667 |
+
"rewards/margins": 86.54534912109375,
|
668 |
+
"rewards/rejected": -187.0577850341797,
|
669 |
+
"step": 430
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.3453689167974882,
|
673 |
+
"grad_norm": 16.95800834501449,
|
674 |
+
"learning_rate": 4.1399751550651084e-07,
|
675 |
+
"logits/chosen": 5963.57470703125,
|
676 |
+
"logits/rejected": 5890.51171875,
|
677 |
+
"logps/chosen": -275.5081787109375,
|
678 |
+
"logps/rejected": -343.4457702636719,
|
679 |
+
"loss": 0.6238,
|
680 |
+
"rewards/accuracies": 0.7749999761581421,
|
681 |
+
"rewards/chosen": -93.11483764648438,
|
682 |
+
"rewards/margins": 58.647361755371094,
|
683 |
+
"rewards/rejected": -151.76220703125,
|
684 |
+
"step": 440
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.3532182103610675,
|
688 |
+
"grad_norm": 11.15998480161967,
|
689 |
+
"learning_rate": 4.087638171951401e-07,
|
690 |
+
"logits/chosen": 6931.64697265625,
|
691 |
+
"logits/rejected": 4930.6923828125,
|
692 |
+
"logps/chosen": -293.3556213378906,
|
693 |
+
"logps/rejected": -322.02337646484375,
|
694 |
+
"loss": 0.6253,
|
695 |
+
"rewards/accuracies": 0.7416666746139526,
|
696 |
+
"rewards/chosen": -84.58689880371094,
|
697 |
+
"rewards/margins": 74.44380950927734,
|
698 |
+
"rewards/rejected": -159.0307159423828,
|
699 |
+
"step": 450
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.36106750392464676,
|
703 |
+
"grad_norm": 11.8715155801604,
|
704 |
+
"learning_rate": 4.034108149278543e-07,
|
705 |
+
"logits/chosen": 7102.58349609375,
|
706 |
+
"logits/rejected": 5428.9775390625,
|
707 |
+
"logps/chosen": -346.68634033203125,
|
708 |
+
"logps/rejected": -355.1321716308594,
|
709 |
+
"loss": 0.6207,
|
710 |
+
"rewards/accuracies": 0.7583333253860474,
|
711 |
+
"rewards/chosen": -96.25406646728516,
|
712 |
+
"rewards/margins": 68.67012786865234,
|
713 |
+
"rewards/rejected": -164.9241943359375,
|
714 |
+
"step": 460
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.36891679748822603,
|
718 |
+
"grad_norm": 16.98432474874273,
|
719 |
+
"learning_rate": 3.979425312480629e-07,
|
720 |
+
"logits/chosen": 6031.1064453125,
|
721 |
+
"logits/rejected": 5226.72216796875,
|
722 |
+
"logps/chosen": -335.190673828125,
|
723 |
+
"logps/rejected": -399.636962890625,
|
724 |
+
"loss": 0.6369,
|
725 |
+
"rewards/accuracies": 0.7583333253860474,
|
726 |
+
"rewards/chosen": -122.92594146728516,
|
727 |
+
"rewards/margins": 74.1447525024414,
|
728 |
+
"rewards/rejected": -197.07069396972656,
|
729 |
+
"step": 470
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.37676609105180536,
|
733 |
+
"grad_norm": 10.201495638028796,
|
734 |
+
"learning_rate": 3.923630753280357e-07,
|
735 |
+
"logits/chosen": 6538.5703125,
|
736 |
+
"logits/rejected": 5552.7998046875,
|
737 |
+
"logps/chosen": -298.9499816894531,
|
738 |
+
"logps/rejected": -345.0953369140625,
|
739 |
+
"loss": 0.6213,
|
740 |
+
"rewards/accuracies": 0.7666667103767395,
|
741 |
+
"rewards/chosen": -91.55477142333984,
|
742 |
+
"rewards/margins": 79.14476776123047,
|
743 |
+
"rewards/rejected": -170.6995391845703,
|
744 |
+
"step": 480
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.38461538461538464,
|
748 |
+
"grad_norm": 17.170911712736423,
|
749 |
+
"learning_rate": 3.866766398810424e-07,
|
750 |
+
"logits/chosen": 6079.12646484375,
|
751 |
+
"logits/rejected": 5729.90625,
|
752 |
+
"logps/chosen": -269.0557556152344,
|
753 |
+
"logps/rejected": -384.9722900390625,
|
754 |
+
"loss": 0.6034,
|
755 |
+
"rewards/accuracies": 0.824999988079071,
|
756 |
+
"rewards/chosen": -92.447265625,
|
757 |
+
"rewards/margins": 90.50070190429688,
|
758 |
+
"rewards/rejected": -182.94796752929688,
|
759 |
+
"step": 490
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.3924646781789639,
|
763 |
+
"grad_norm": 17.90792915865348,
|
764 |
+
"learning_rate": 3.8088749801071496e-07,
|
765 |
+
"logits/chosen": 6501.1435546875,
|
766 |
+
"logits/rejected": 4916.962890625,
|
767 |
+
"logps/chosen": -370.4066467285156,
|
768 |
+
"logps/rejected": -442.2255859375,
|
769 |
+
"loss": 0.6376,
|
770 |
+
"rewards/accuracies": 0.7749999761581421,
|
771 |
+
"rewards/chosen": -148.45297241210938,
|
772 |
+
"rewards/margins": 91.25639343261719,
|
773 |
+
"rewards/rejected": -239.7093505859375,
|
774 |
+
"step": 500
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.4003139717425432,
|
778 |
+
"grad_norm": 11.093400815043566,
|
779 |
+
"learning_rate": 3.75e-07,
|
780 |
+
"logits/chosen": 5320.60302734375,
|
781 |
+
"logits/rejected": 4625.2607421875,
|
782 |
+
"logps/chosen": -280.2235107421875,
|
783 |
+
"logps/rejected": -348.7869567871094,
|
784 |
+
"loss": 0.613,
|
785 |
+
"rewards/accuracies": 0.8250001072883606,
|
786 |
+
"rewards/chosen": -90.74053955078125,
|
787 |
+
"rewards/margins": 91.68112182617188,
|
788 |
+
"rewards/rejected": -182.42164611816406,
|
789 |
+
"step": 510
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.40816326530612246,
|
793 |
+
"grad_norm": 16.873928239705048,
|
794 |
+
"learning_rate": 3.6901857004211443e-07,
|
795 |
+
"logits/chosen": 5609.70556640625,
|
796 |
+
"logits/rejected": 5175.36328125,
|
797 |
+
"logps/chosen": -295.0995178222656,
|
798 |
+
"logps/rejected": -360.041015625,
|
799 |
+
"loss": 0.6383,
|
800 |
+
"rewards/accuracies": 0.7333333492279053,
|
801 |
+
"rewards/chosen": -96.6335220336914,
|
802 |
+
"rewards/margins": 67.6194839477539,
|
803 |
+
"rewards/rejected": -164.2530059814453,
|
804 |
+
"step": 520
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 0.41601255886970173,
|
808 |
+
"grad_norm": 12.66871333637675,
|
809 |
+
"learning_rate": 3.6294770291596076e-07,
|
810 |
+
"logits/chosen": 6355.0244140625,
|
811 |
+
"logits/rejected": 5158.5986328125,
|
812 |
+
"logps/chosen": -314.4820251464844,
|
813 |
+
"logps/rejected": -356.3719177246094,
|
814 |
+
"loss": 0.6139,
|
815 |
+
"rewards/accuracies": 0.6999999284744263,
|
816 |
+
"rewards/chosen": -101.55928802490234,
|
817 |
+
"rewards/margins": 56.05229949951172,
|
818 |
+
"rewards/rejected": -157.611572265625,
|
819 |
+
"step": 530
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.423861852433281,
|
823 |
+
"grad_norm": 15.194295742706043,
|
824 |
+
"learning_rate": 3.5679196060850034e-07,
|
825 |
+
"logits/chosen": 6004.0322265625,
|
826 |
+
"logits/rejected": 5311.98583984375,
|
827 |
+
"logps/chosen": -328.72637939453125,
|
828 |
+
"logps/rejected": -383.19464111328125,
|
829 |
+
"loss": 0.6213,
|
830 |
+
"rewards/accuracies": 0.7583333253860474,
|
831 |
+
"rewards/chosen": -117.90850830078125,
|
832 |
+
"rewards/margins": 77.04728698730469,
|
833 |
+
"rewards/rejected": -194.95579528808594,
|
834 |
+
"step": 540
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.4317111459968603,
|
838 |
+
"grad_norm": 17.3949205074546,
|
839 |
+
"learning_rate": 3.505559688866229e-07,
|
840 |
+
"logits/chosen": 5810.20166015625,
|
841 |
+
"logits/rejected": 5345.8447265625,
|
842 |
+
"logps/chosen": -338.4986267089844,
|
843 |
+
"logps/rejected": -431.74285888671875,
|
844 |
+
"loss": 0.6214,
|
845 |
+
"rewards/accuracies": 0.73333340883255,
|
846 |
+
"rewards/chosen": -123.7582015991211,
|
847 |
+
"rewards/margins": 82.92054748535156,
|
848 |
+
"rewards/rejected": -206.6787567138672,
|
849 |
+
"step": 550
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.43956043956043955,
|
853 |
+
"grad_norm": 16.745493319885668,
|
854 |
+
"learning_rate": 3.4424441382108826e-07,
|
855 |
+
"logits/chosen": 5873.52099609375,
|
856 |
+
"logits/rejected": 5474.826171875,
|
857 |
+
"logps/chosen": -316.10479736328125,
|
858 |
+
"logps/rejected": -369.5398864746094,
|
859 |
+
"loss": 0.6278,
|
860 |
+
"rewards/accuracies": 0.7666667103767395,
|
861 |
+
"rewards/chosen": -112.82951354980469,
|
862 |
+
"rewards/margins": 63.50117874145508,
|
863 |
+
"rewards/rejected": -176.33071899414062,
|
864 |
+
"step": 560
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 0.4474097331240188,
|
868 |
+
"grad_norm": 20.733746374707195,
|
869 |
+
"learning_rate": 3.378620382651523e-07,
|
870 |
+
"logits/chosen": 6166.53125,
|
871 |
+
"logits/rejected": 5672.7578125,
|
872 |
+
"logps/chosen": -361.2176513671875,
|
873 |
+
"logps/rejected": -411.9073791503906,
|
874 |
+
"loss": 0.6119,
|
875 |
+
"rewards/accuracies": 0.7583333253860474,
|
876 |
+
"rewards/chosen": -118.25773620605469,
|
877 |
+
"rewards/margins": 69.87909698486328,
|
878 |
+
"rewards/rejected": -188.13682556152344,
|
879 |
+
"step": 570
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.4552590266875981,
|
883 |
+
"grad_norm": 39.46262291218352,
|
884 |
+
"learning_rate": 3.314136382905234e-07,
|
885 |
+
"logits/chosen": 6161.3798828125,
|
886 |
+
"logits/rejected": 5444.43408203125,
|
887 |
+
"logps/chosen": -331.9513854980469,
|
888 |
+
"logps/rejected": -450.3265686035156,
|
889 |
+
"loss": 0.623,
|
890 |
+
"rewards/accuracies": 0.8333333134651184,
|
891 |
+
"rewards/chosen": -119.53593444824219,
|
892 |
+
"rewards/margins": 117.47932434082031,
|
893 |
+
"rewards/rejected": -237.01522827148438,
|
894 |
+
"step": 580
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 0.4631083202511774,
|
898 |
+
"grad_norm": 16.486304218382795,
|
899 |
+
"learning_rate": 3.249040595833274e-07,
|
900 |
+
"logits/chosen": 6643.578125,
|
901 |
+
"logits/rejected": 5511.3427734375,
|
902 |
+
"logps/chosen": -372.27203369140625,
|
903 |
+
"logps/rejected": -422.9007873535156,
|
904 |
+
"loss": 0.6139,
|
905 |
+
"rewards/accuracies": 0.7916666865348816,
|
906 |
+
"rewards/chosen": -140.54617309570312,
|
907 |
+
"rewards/margins": 103.49578857421875,
|
908 |
+
"rewards/rejected": -244.04196166992188,
|
909 |
+
"step": 590
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.47095761381475665,
|
913 |
+
"grad_norm": 20.09270587846568,
|
914 |
+
"learning_rate": 3.1833819380279023e-07,
|
915 |
+
"logits/chosen": 6314.1455078125,
|
916 |
+
"logits/rejected": 5327.32275390625,
|
917 |
+
"logps/chosen": -312.32403564453125,
|
918 |
+
"logps/rejected": -400.52081298828125,
|
919 |
+
"loss": 0.6082,
|
920 |
+
"rewards/accuracies": 0.783333420753479,
|
921 |
+
"rewards/chosen": -134.77569580078125,
|
922 |
+
"rewards/margins": 76.05888366699219,
|
923 |
+
"rewards/rejected": -210.83456420898438,
|
924 |
+
"step": 600
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 0.478806907378336,
|
928 |
+
"grad_norm": 13.1370939820266,
|
929 |
+
"learning_rate": 3.11720974905373e-07,
|
930 |
+
"logits/chosen": 6039.34130859375,
|
931 |
+
"logits/rejected": 5201.23388671875,
|
932 |
+
"logps/chosen": -330.3988952636719,
|
933 |
+
"logps/rejected": -401.22540283203125,
|
934 |
+
"loss": 0.6108,
|
935 |
+
"rewards/accuracies": 0.7916666865348816,
|
936 |
+
"rewards/chosen": -124.28079986572266,
|
937 |
+
"rewards/margins": 91.52204895019531,
|
938 |
+
"rewards/rejected": -215.80282592773438,
|
939 |
+
"step": 610
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.48665620094191525,
|
943 |
+
"grad_norm": 13.32277955977118,
|
944 |
+
"learning_rate": 3.0505737543712275e-07,
|
945 |
+
"logits/chosen": 5050.4599609375,
|
946 |
+
"logits/rejected": 4102.0205078125,
|
947 |
+
"logps/chosen": -343.1001281738281,
|
948 |
+
"logps/rejected": -393.78594970703125,
|
949 |
+
"loss": 0.6182,
|
950 |
+
"rewards/accuracies": 0.7333333492279053,
|
951 |
+
"rewards/chosen": -159.34146118164062,
|
952 |
+
"rewards/margins": 73.34559631347656,
|
953 |
+
"rewards/rejected": -232.6870574951172,
|
954 |
+
"step": 620
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.4945054945054945,
|
958 |
+
"grad_norm": 20.488144807475322,
|
959 |
+
"learning_rate": 2.9835240279702513e-07,
|
960 |
+
"logits/chosen": 6585.72119140625,
|
961 |
+
"logits/rejected": 5542.74755859375,
|
962 |
+
"logps/chosen": -375.4349365234375,
|
963 |
+
"logps/rejected": -429.8561096191406,
|
964 |
+
"loss": 0.6128,
|
965 |
+
"rewards/accuracies": 0.8083333969116211,
|
966 |
+
"rewards/chosen": -132.61892700195312,
|
967 |
+
"rewards/margins": 102.98915100097656,
|
968 |
+
"rewards/rejected": -235.6080322265625,
|
969 |
+
"step": 630
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.5023547880690737,
|
973 |
+
"grad_norm": 15.285970338736266,
|
974 |
+
"learning_rate": 2.9161109547416667e-07,
|
975 |
+
"logits/chosen": 6281.32177734375,
|
976 |
+
"logits/rejected": 5335.0029296875,
|
977 |
+
"logps/chosen": -345.87286376953125,
|
978 |
+
"logps/rejected": -405.34576416015625,
|
979 |
+
"loss": 0.6137,
|
980 |
+
"rewards/accuracies": 0.7000000476837158,
|
981 |
+
"rewards/chosen": -135.1112823486328,
|
982 |
+
"rewards/margins": 55.7255859375,
|
983 |
+
"rewards/rejected": -190.83685302734375,
|
984 |
+
"step": 640
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.5102040816326531,
|
988 |
+
"grad_norm": 13.467647025010642,
|
989 |
+
"learning_rate": 2.848385192615339e-07,
|
990 |
+
"logits/chosen": 5367.36474609375,
|
991 |
+
"logits/rejected": 4323.5107421875,
|
992 |
+
"logps/chosen": -317.5534362792969,
|
993 |
+
"logps/rejected": -361.20721435546875,
|
994 |
+
"loss": 0.6173,
|
995 |
+
"rewards/accuracies": 0.7750000357627869,
|
996 |
+
"rewards/chosen": -121.21412658691406,
|
997 |
+
"rewards/margins": 71.26534271240234,
|
998 |
+
"rewards/rejected": -192.47947692871094,
|
999 |
+
"step": 650
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.5180533751962323,
|
1003 |
+
"grad_norm": 16.80725232592256,
|
1004 |
+
"learning_rate": 2.780397634492949e-07,
|
1005 |
+
"logits/chosen": 6023.45703125,
|
1006 |
+
"logits/rejected": 4714.66015625,
|
1007 |
+
"logps/chosen": -344.6996154785156,
|
1008 |
+
"logps/rejected": -413.51885986328125,
|
1009 |
+
"loss": 0.6221,
|
1010 |
+
"rewards/accuracies": 0.841666579246521,
|
1011 |
+
"rewards/chosen": -127.31312561035156,
|
1012 |
+
"rewards/margins": 98.25833892822266,
|
1013 |
+
"rewards/rejected": -225.57144165039062,
|
1014 |
+
"step": 660
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 0.5259026687598116,
|
1018 |
+
"grad_norm": 25.673672433544294,
|
1019 |
+
"learning_rate": 2.71219937000424e-07,
|
1020 |
+
"logits/chosen": 6010.3349609375,
|
1021 |
+
"logits/rejected": 4891.86328125,
|
1022 |
+
"logps/chosen": -337.61956787109375,
|
1023 |
+
"logps/rejected": -385.28363037109375,
|
1024 |
+
"loss": 0.6274,
|
1025 |
+
"rewards/accuracies": 0.783333420753479,
|
1026 |
+
"rewards/chosen": -130.86009216308594,
|
1027 |
+
"rewards/margins": 65.56916809082031,
|
1028 |
+
"rewards/rejected": -196.42926025390625,
|
1029 |
+
"step": 670
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.533751962323391,
|
1033 |
+
"grad_norm": 18.590503250558747,
|
1034 |
+
"learning_rate": 2.6438416471154273e-07,
|
1035 |
+
"logits/chosen": 5842.89208984375,
|
1036 |
+
"logits/rejected": 4827.79345703125,
|
1037 |
+
"logps/chosen": -347.49615478515625,
|
1038 |
+
"logps/rejected": -392.47955322265625,
|
1039 |
+
"loss": 0.6184,
|
1040 |
+
"rewards/accuracies": 0.7916666269302368,
|
1041 |
+
"rewards/chosen": -133.83489990234375,
|
1042 |
+
"rewards/margins": 79.41798400878906,
|
1043 |
+
"rewards/rejected": -213.2528839111328,
|
1044 |
+
"step": 680
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 0.5416012558869702,
|
1048 |
+
"grad_norm": 17.15200634352273,
|
1049 |
+
"learning_rate": 2.5753758336186326e-07,
|
1050 |
+
"logits/chosen": 5809.44482421875,
|
1051 |
+
"logits/rejected": 5264.39306640625,
|
1052 |
+
"logps/chosen": -337.9293212890625,
|
1053 |
+
"logps/rejected": -433.0084533691406,
|
1054 |
+
"loss": 0.6031,
|
1055 |
+
"rewards/accuracies": 0.7666666507720947,
|
1056 |
+
"rewards/chosen": -128.82289123535156,
|
1057 |
+
"rewards/margins": 87.98890686035156,
|
1058 |
+
"rewards/rejected": -216.811767578125,
|
1059 |
+
"step": 690
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.5494505494505495,
|
1063 |
+
"grad_norm": 15.797111525049983,
|
1064 |
+
"learning_rate": 2.5068533785312666e-07,
|
1065 |
+
"logits/chosen": 5499.59619140625,
|
1066 |
+
"logits/rejected": 5237.15771484375,
|
1067 |
+
"logps/chosen": -330.9737854003906,
|
1068 |
+
"logps/rejected": -413.58660888671875,
|
1069 |
+
"loss": 0.6328,
|
1070 |
+
"rewards/accuracies": 0.7083333730697632,
|
1071 |
+
"rewards/chosen": -141.71347045898438,
|
1072 |
+
"rewards/margins": 84.89921569824219,
|
1073 |
+
"rewards/rejected": -226.61270141601562,
|
1074 |
+
"step": 700
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 0.5572998430141287,
|
1078 |
+
"grad_norm": 15.51787747131488,
|
1079 |
+
"learning_rate": 2.4383257734343794e-07,
|
1080 |
+
"logits/chosen": 5412.13134765625,
|
1081 |
+
"logits/rejected": 5404.90283203125,
|
1082 |
+
"logps/chosen": -334.6061706542969,
|
1083 |
+
"logps/rejected": -422.1012268066406,
|
1084 |
+
"loss": 0.6078,
|
1085 |
+
"rewards/accuracies": 0.7500000596046448,
|
1086 |
+
"rewards/chosen": -140.69480895996094,
|
1087 |
+
"rewards/margins": 78.7857666015625,
|
1088 |
+
"rewards/rejected": -219.48056030273438,
|
1089 |
+
"step": 710
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.565149136577708,
|
1093 |
+
"grad_norm": 19.301105032278493,
|
1094 |
+
"learning_rate": 2.3698445137790258e-07,
|
1095 |
+
"logits/chosen": 5852.1748046875,
|
1096 |
+
"logits/rejected": 4949.2099609375,
|
1097 |
+
"logps/chosen": -339.65594482421875,
|
1098 |
+
"logps/rejected": -409.58099365234375,
|
1099 |
+
"loss": 0.6125,
|
1100 |
+
"rewards/accuracies": 0.7500000596046448,
|
1101 |
+
"rewards/chosen": -120.65275573730469,
|
1102 |
+
"rewards/margins": 89.16310119628906,
|
1103 |
+
"rewards/rejected": -209.8158416748047,
|
1104 |
+
"step": 720
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 0.5729984301412873,
|
1108 |
+
"grad_norm": 17.264432929616067,
|
1109 |
+
"learning_rate": 2.3014610601897157e-07,
|
1110 |
+
"logits/chosen": 6345.07080078125,
|
1111 |
+
"logits/rejected": 4777.46826171875,
|
1112 |
+
"logps/chosen": -357.9107971191406,
|
1113 |
+
"logps/rejected": -393.86749267578125,
|
1114 |
+
"loss": 0.6193,
|
1115 |
+
"rewards/accuracies": 0.7666667699813843,
|
1116 |
+
"rewards/chosen": -132.76486206054688,
|
1117 |
+
"rewards/margins": 86.02892303466797,
|
1118 |
+
"rewards/rejected": -218.79379272460938,
|
1119 |
+
"step": 730
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.5808477237048666,
|
1123 |
+
"grad_norm": 16.99769270663946,
|
1124 |
+
"learning_rate": 2.2332267997940513e-07,
|
1125 |
+
"logits/chosen": 5260.65673828125,
|
1126 |
+
"logits/rejected": 4413.0966796875,
|
1127 |
+
"logps/chosen": -320.5991516113281,
|
1128 |
+
"logps/rejected": -370.4900817871094,
|
1129 |
+
"loss": 0.6068,
|
1130 |
+
"rewards/accuracies": 0.7583333253860474,
|
1131 |
+
"rewards/chosen": -128.17471313476562,
|
1132 |
+
"rewards/margins": 79.66935729980469,
|
1133 |
+
"rewards/rejected": -207.8440704345703,
|
1134 |
+
"step": 740
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 0.5886970172684458,
|
1138 |
+
"grad_norm": 19.890647703266293,
|
1139 |
+
"learning_rate": 2.1651930076075723e-07,
|
1140 |
+
"logits/chosen": 5752.275390625,
|
1141 |
+
"logits/rejected": 5127.4677734375,
|
1142 |
+
"logps/chosen": -327.98681640625,
|
1143 |
+
"logps/rejected": -381.2528381347656,
|
1144 |
+
"loss": 0.6251,
|
1145 |
+
"rewards/accuracies": 0.73333340883255,
|
1146 |
+
"rewards/chosen": -147.56088256835938,
|
1147 |
+
"rewards/margins": 66.59766387939453,
|
1148 |
+
"rewards/rejected": -214.1585693359375,
|
1149 |
+
"step": 750
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.5965463108320251,
|
1153 |
+
"grad_norm": 14.729863717931694,
|
1154 |
+
"learning_rate": 2.0974108080028692e-07,
|
1155 |
+
"logits/chosen": 6052.0751953125,
|
1156 |
+
"logits/rejected": 4696.7666015625,
|
1157 |
+
"logps/chosen": -337.3818664550781,
|
1158 |
+
"logps/rejected": -385.4659118652344,
|
1159 |
+
"loss": 0.6144,
|
1160 |
+
"rewards/accuracies": 0.800000011920929,
|
1161 |
+
"rewards/chosen": -134.1309051513672,
|
1162 |
+
"rewards/margins": 76.8044662475586,
|
1163 |
+
"rewards/rejected": -210.9353790283203,
|
1164 |
+
"step": 760
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.6043956043956044,
|
1168 |
+
"grad_norm": 17.668089788843886,
|
1169 |
+
"learning_rate": 2.0299311362918773e-07,
|
1170 |
+
"logits/chosen": 6281.421875,
|
1171 |
+
"logits/rejected": 5333.64794921875,
|
1172 |
+
"logps/chosen": -369.94805908203125,
|
1173 |
+
"logps/rejected": -441.9542541503906,
|
1174 |
+
"loss": 0.6302,
|
1175 |
+
"rewards/accuracies": 0.7333333492279053,
|
1176 |
+
"rewards/chosen": -140.21438598632812,
|
1177 |
+
"rewards/margins": 77.87971496582031,
|
1178 |
+
"rewards/rejected": -218.09408569335938,
|
1179 |
+
"step": 770
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.6122448979591837,
|
1183 |
+
"grad_norm": 15.214960693707779,
|
1184 |
+
"learning_rate": 1.962804700450265e-07,
|
1185 |
+
"logits/chosen": 6088.87744140625,
|
1186 |
+
"logits/rejected": 5759.99560546875,
|
1187 |
+
"logps/chosen": -357.53375244140625,
|
1188 |
+
"logps/rejected": -451.697509765625,
|
1189 |
+
"loss": 0.6171,
|
1190 |
+
"rewards/accuracies": 0.75,
|
1191 |
+
"rewards/chosen": -141.428466796875,
|
1192 |
+
"rewards/margins": 72.88134002685547,
|
1193 |
+
"rewards/rejected": -214.30978393554688,
|
1194 |
+
"step": 780
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 0.6200941915227629,
|
1198 |
+
"grad_norm": 32.04354354649456,
|
1199 |
+
"learning_rate": 1.8960819430126334e-07,
|
1200 |
+
"logits/chosen": 5662.08056640625,
|
1201 |
+
"logits/rejected": 4959.47998046875,
|
1202 |
+
"logps/chosen": -362.9315490722656,
|
1203 |
+
"logps/rejected": -448.6405334472656,
|
1204 |
+
"loss": 0.6126,
|
1205 |
+
"rewards/accuracies": 0.783333420753479,
|
1206 |
+
"rewards/chosen": -164.80050659179688,
|
1207 |
+
"rewards/margins": 95.24226379394531,
|
1208 |
+
"rewards/rejected": -260.04278564453125,
|
1209 |
+
"step": 790
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.6279434850863422,
|
1213 |
+
"grad_norm": 22.34135272884677,
|
1214 |
+
"learning_rate": 1.8298130031671972e-07,
|
1215 |
+
"logits/chosen": 5636.14599609375,
|
1216 |
+
"logits/rejected": 4883.76123046875,
|
1217 |
+
"logps/chosen": -372.5877380371094,
|
1218 |
+
"logps/rejected": -449.95355224609375,
|
1219 |
+
"loss": 0.6251,
|
1220 |
+
"rewards/accuracies": 0.7333333492279053,
|
1221 |
+
"rewards/chosen": -155.86485290527344,
|
1222 |
+
"rewards/margins": 81.3904800415039,
|
1223 |
+
"rewards/rejected": -237.25534057617188,
|
1224 |
+
"step": 800
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 0.6357927786499215,
|
1228 |
+
"grad_norm": 22.27973267170805,
|
1229 |
+
"learning_rate": 1.7640476790784075e-07,
|
1230 |
+
"logits/chosen": 5207.5654296875,
|
1231 |
+
"logits/rejected": 4584.2197265625,
|
1232 |
+
"logps/chosen": -348.1822204589844,
|
1233 |
+
"logps/rejected": -463.4768981933594,
|
1234 |
+
"loss": 0.6154,
|
1235 |
+
"rewards/accuracies": 0.75,
|
1236 |
+
"rewards/chosen": -145.72683715820312,
|
1237 |
+
"rewards/margins": 96.45280456542969,
|
1238 |
+
"rewards/rejected": -242.1796417236328,
|
1239 |
+
"step": 810
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.6436420722135008,
|
1243 |
+
"grad_norm": 21.878335066672264,
|
1244 |
+
"learning_rate": 1.6988353904658492e-07,
|
1245 |
+
"logits/chosen": 5700.16650390625,
|
1246 |
+
"logits/rejected": 4322.6650390625,
|
1247 |
+
"logps/chosen": -365.1958923339844,
|
1248 |
+
"logps/rejected": -391.56353759765625,
|
1249 |
+
"loss": 0.6154,
|
1250 |
+
"rewards/accuracies": 0.7666666507720947,
|
1251 |
+
"rewards/chosen": -143.98133850097656,
|
1252 |
+
"rewards/margins": 78.89381408691406,
|
1253 |
+
"rewards/rejected": -222.8751983642578,
|
1254 |
+
"step": 820
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 0.6514913657770801,
|
1258 |
+
"grad_norm": 30.16348408203026,
|
1259 |
+
"learning_rate": 1.634225141467513e-07,
|
1260 |
+
"logits/chosen": 5625.34326171875,
|
1261 |
+
"logits/rejected": 4964.39306640625,
|
1262 |
+
"logps/chosen": -347.97393798828125,
|
1263 |
+
"logps/rejected": -428.678466796875,
|
1264 |
+
"loss": 0.613,
|
1265 |
+
"rewards/accuracies": 0.7750000357627869,
|
1266 |
+
"rewards/chosen": -143.7879180908203,
|
1267 |
+
"rewards/margins": 92.43571472167969,
|
1268 |
+
"rewards/rejected": -236.2236328125,
|
1269 |
+
"step": 830
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.6593406593406593,
|
1273 |
+
"grad_norm": 12.309600681345202,
|
1274 |
+
"learning_rate": 1.570265483815364e-07,
|
1275 |
+
"logits/chosen": 6213.0498046875,
|
1276 |
+
"logits/rejected": 5020.015625,
|
1277 |
+
"logps/chosen": -358.1226806640625,
|
1278 |
+
"logps/rejected": -418.3009338378906,
|
1279 |
+
"loss": 0.618,
|
1280 |
+
"rewards/accuracies": 0.7250000238418579,
|
1281 |
+
"rewards/chosen": -130.79283142089844,
|
1282 |
+
"rewards/margins": 74.71489715576172,
|
1283 |
+
"rewards/rejected": -205.5077362060547,
|
1284 |
+
"step": 840
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 0.6671899529042387,
|
1288 |
+
"grad_norm": 12.13079365289034,
|
1289 |
+
"learning_rate": 1.5070044803508691e-07,
|
1290 |
+
"logits/chosen": 5740.8427734375,
|
1291 |
+
"logits/rejected": 5088.7275390625,
|
1292 |
+
"logps/chosen": -333.6675720214844,
|
1293 |
+
"logps/rejected": -408.93280029296875,
|
1294 |
+
"loss": 0.5962,
|
1295 |
+
"rewards/accuracies": 0.7666667103767395,
|
1296 |
+
"rewards/chosen": -118.1900863647461,
|
1297 |
+
"rewards/margins": 90.28736877441406,
|
1298 |
+
"rewards/rejected": -208.4774627685547,
|
1299 |
+
"step": 850
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 0.6750392464678179,
|
1303 |
+
"grad_norm": 17.975318476548516,
|
1304 |
+
"learning_rate": 1.444489668907914e-07,
|
1305 |
+
"logits/chosen": 6176.43212890625,
|
1306 |
+
"logits/rejected": 5197.5263671875,
|
1307 |
+
"logps/chosen": -364.1601867675781,
|
1308 |
+
"logps/rejected": -395.86810302734375,
|
1309 |
+
"loss": 0.6293,
|
1310 |
+
"rewards/accuracies": 0.7416666746139526,
|
1311 |
+
"rewards/chosen": -116.38951110839844,
|
1312 |
+
"rewards/margins": 76.79676818847656,
|
1313 |
+
"rewards/rejected": -193.186279296875,
|
1314 |
+
"step": 860
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 0.6828885400313972,
|
1318 |
+
"grad_norm": 18.675632935473597,
|
1319 |
+
"learning_rate": 1.3827680265902232e-07,
|
1320 |
+
"logits/chosen": 6169.16015625,
|
1321 |
+
"logits/rejected": 5053.54638671875,
|
1322 |
+
"logps/chosen": -336.77423095703125,
|
1323 |
+
"logps/rejected": -384.07647705078125,
|
1324 |
+
"loss": 0.6181,
|
1325 |
+
"rewards/accuracies": 0.7833333611488342,
|
1326 |
+
"rewards/chosen": -106.67745208740234,
|
1327 |
+
"rewards/margins": 76.71006774902344,
|
1328 |
+
"rewards/rejected": -183.38754272460938,
|
1329 |
+
"step": 870
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.6907378335949764,
|
1333 |
+
"grad_norm": 15.556936298105454,
|
1334 |
+
"learning_rate": 1.3218859344701632e-07,
|
1335 |
+
"logits/chosen": 5415.5537109375,
|
1336 |
+
"logits/rejected": 5134.35888671875,
|
1337 |
+
"logps/chosen": -307.6910400390625,
|
1338 |
+
"logps/rejected": -403.2095947265625,
|
1339 |
+
"loss": 0.6154,
|
1340 |
+
"rewards/accuracies": 0.7583333849906921,
|
1341 |
+
"rewards/chosen": -97.1800765991211,
|
1342 |
+
"rewards/margins": 74.44038391113281,
|
1343 |
+
"rewards/rejected": -171.62045288085938,
|
1344 |
+
"step": 880
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 0.6985871271585558,
|
1348 |
+
"grad_norm": 14.598418420491413,
|
1349 |
+
"learning_rate": 1.2618891427354172e-07,
|
1350 |
+
"logits/chosen": 6405.8955078125,
|
1351 |
+
"logits/rejected": 5148.23828125,
|
1352 |
+
"logps/chosen": -354.01531982421875,
|
1353 |
+
"logps/rejected": -396.88348388671875,
|
1354 |
+
"loss": 0.6246,
|
1355 |
+
"rewards/accuracies": 0.800000011920929,
|
1356 |
+
"rewards/chosen": -96.41930389404297,
|
1357 |
+
"rewards/margins": 88.68364715576172,
|
1358 |
+
"rewards/rejected": -185.1029510498047,
|
1359 |
+
"step": 890
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.706436420722135,
|
1363 |
+
"grad_norm": 17.248604251826578,
|
1364 |
+
"learning_rate": 1.202822736309758e-07,
|
1365 |
+
"logits/chosen": 5427.36181640625,
|
1366 |
+
"logits/rejected": 4946.220703125,
|
1367 |
+
"logps/chosen": -309.7834777832031,
|
1368 |
+
"logps/rejected": -402.7059326171875,
|
1369 |
+
"loss": 0.6169,
|
1370 |
+
"rewards/accuracies": 0.7333333492279053,
|
1371 |
+
"rewards/chosen": -105.43426513671875,
|
1372 |
+
"rewards/margins": 86.841552734375,
|
1373 |
+
"rewards/rejected": -192.27581787109375,
|
1374 |
+
"step": 900
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.7142857142857143,
|
1378 |
+
"grad_norm": 21.236660119285595,
|
1379 |
+
"learning_rate": 1.1447311009737299e-07,
|
1380 |
+
"logits/chosen": 5334.93408203125,
|
1381 |
+
"logits/rejected": 4981.6474609375,
|
1382 |
+
"logps/chosen": -332.61944580078125,
|
1383 |
+
"logps/rejected": -423.7569274902344,
|
1384 |
+
"loss": 0.6253,
|
1385 |
+
"rewards/accuracies": 0.7749999761581421,
|
1386 |
+
"rewards/chosen": -124.39315032958984,
|
1387 |
+
"rewards/margins": 91.43525695800781,
|
1388 |
+
"rewards/rejected": -215.8284149169922,
|
1389 |
+
"step": 910
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.7221350078492935,
|
1393 |
+
"grad_norm": 14.521571204964287,
|
1394 |
+
"learning_rate": 1.0876578900107053e-07,
|
1395 |
+
"logits/chosen": 5887.0625,
|
1396 |
+
"logits/rejected": 4832.818359375,
|
1397 |
+
"logps/chosen": -360.1144714355469,
|
1398 |
+
"logps/rejected": -408.10321044921875,
|
1399 |
+
"loss": 0.6099,
|
1400 |
+
"rewards/accuracies": 0.824999988079071,
|
1401 |
+
"rewards/chosen": -127.6928939819336,
|
1402 |
+
"rewards/margins": 82.26800537109375,
|
1403 |
+
"rewards/rejected": -209.9608917236328,
|
1404 |
+
"step": 920
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 0.7299843014128728,
|
1408 |
+
"grad_norm": 12.269584700329853,
|
1409 |
+
"learning_rate": 1.0316459914033793e-07,
|
1410 |
+
"logits/chosen": 5838.90185546875,
|
1411 |
+
"logits/rejected": 4279.92529296875,
|
1412 |
+
"logps/chosen": -368.8111877441406,
|
1413 |
+
"logps/rejected": -407.0862121582031,
|
1414 |
+
"loss": 0.6068,
|
1415 |
+
"rewards/accuracies": 0.7833333015441895,
|
1416 |
+
"rewards/chosen": -132.82225036621094,
|
1417 |
+
"rewards/margins": 88.33971405029297,
|
1418 |
+
"rewards/rejected": -221.16195678710938,
|
1419 |
+
"step": 930
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.7378335949764521,
|
1423 |
+
"grad_norm": 16.95040924011293,
|
1424 |
+
"learning_rate": 9.767374956053584e-08,
|
1425 |
+
"logits/chosen": 5631.70751953125,
|
1426 |
+
"logits/rejected": 4867.74560546875,
|
1427 |
+
"logps/chosen": -354.5127868652344,
|
1428 |
+
"logps/rejected": -444.9837951660156,
|
1429 |
+
"loss": 0.6195,
|
1430 |
+
"rewards/accuracies": 0.7666667699813843,
|
1431 |
+
"rewards/chosen": -136.21914672851562,
|
1432 |
+
"rewards/margins": 103.7847671508789,
|
1433 |
+
"rewards/rejected": -240.00390625,
|
1434 |
+
"step": 940
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 0.7456828885400314,
|
1438 |
+
"grad_norm": 15.455216526066362,
|
1439 |
+
"learning_rate": 9.229736639120561e-08,
|
1440 |
+
"logits/chosen": 5815.58251953125,
|
1441 |
+
"logits/rejected": 5308.6826171875,
|
1442 |
+
"logps/chosen": -353.8769836425781,
|
1443 |
+
"logps/rejected": -416.19110107421875,
|
1444 |
+
"loss": 0.6285,
|
1445 |
+
"rewards/accuracies": 0.7416666746139526,
|
1446 |
+
"rewards/chosen": -136.0758056640625,
|
1447 |
+
"rewards/margins": 65.96086120605469,
|
1448 |
+
"rewards/rejected": -202.03665161132812,
|
1449 |
+
"step": 950
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 0.7535321821036107,
|
1453 |
+
"grad_norm": 21.025656579521215,
|
1454 |
+
"learning_rate": 8.70394897454659e-08,
|
1455 |
+
"logits/chosen": 5706.39208984375,
|
1456 |
+
"logits/rejected": 5004.17041015625,
|
1457 |
+
"logps/chosen": -332.70684814453125,
|
1458 |
+
"logps/rejected": -410.22308349609375,
|
1459 |
+
"loss": 0.6127,
|
1460 |
+
"rewards/accuracies": 0.8083332777023315,
|
1461 |
+
"rewards/chosen": -114.27842712402344,
|
1462 |
+
"rewards/margins": 93.46832275390625,
|
1463 |
+
"rewards/rejected": -207.7467498779297,
|
1464 |
+
"step": 960
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 0.7613814756671899,
|
1468 |
+
"grad_norm": 22.662244586868777,
|
1469 |
+
"learning_rate": 8.19040706840472e-08,
|
1470 |
+
"logits/chosen": 5792.12451171875,
|
1471 |
+
"logits/rejected": 4783.9365234375,
|
1472 |
+
"logps/chosen": -364.58013916015625,
|
1473 |
+
"logps/rejected": -429.33734130859375,
|
1474 |
+
"loss": 0.6128,
|
1475 |
+
"rewards/accuracies": 0.7500000596046448,
|
1476 |
+
"rewards/chosen": -124.36016845703125,
|
1477 |
+
"rewards/margins": 98.28662872314453,
|
1478 |
+
"rewards/rejected": -222.6468048095703,
|
1479 |
+
"step": 970
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.7692307692307693,
|
1483 |
+
"grad_norm": 16.294899633616406,
|
1484 |
+
"learning_rate": 7.689496824624525e-08,
|
1485 |
+
"logits/chosen": 5524.9208984375,
|
1486 |
+
"logits/rejected": 4383.34033203125,
|
1487 |
+
"logps/chosen": -343.7428283691406,
|
1488 |
+
"logps/rejected": -411.6790466308594,
|
1489 |
+
"loss": 0.6013,
|
1490 |
+
"rewards/accuracies": 0.7833333611488342,
|
1491 |
+
"rewards/chosen": -114.92622375488281,
|
1492 |
+
"rewards/margins": 106.25920104980469,
|
1493 |
+
"rewards/rejected": -221.18539428710938,
|
1494 |
+
"step": 980
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 0.7770800627943485,
|
1498 |
+
"grad_norm": 24.656802253568358,
|
1499 |
+
"learning_rate": 7.201594655002458e-08,
|
1500 |
+
"logits/chosen": 5839.876953125,
|
1501 |
+
"logits/rejected": 4818.5595703125,
|
1502 |
+
"logps/chosen": -359.73309326171875,
|
1503 |
+
"logps/rejected": -420.4481506347656,
|
1504 |
+
"loss": 0.6001,
|
1505 |
+
"rewards/accuracies": 0.7666667103767395,
|
1506 |
+
"rewards/chosen": -133.83816528320312,
|
1507 |
+
"rewards/margins": 92.54021453857422,
|
1508 |
+
"rewards/rejected": -226.3783721923828,
|
1509 |
+
"step": 990
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 0.7849293563579278,
|
1513 |
+
"grad_norm": 19.139612377869543,
|
1514 |
+
"learning_rate": 6.727067196345099e-08,
|
1515 |
+
"logits/chosen": 5519.62890625,
|
1516 |
+
"logits/rejected": 4601.50830078125,
|
1517 |
+
"logps/chosen": -347.6911315917969,
|
1518 |
+
"logps/rejected": -392.0986328125,
|
1519 |
+
"loss": 0.6166,
|
1520 |
+
"rewards/accuracies": 0.7333333492279053,
|
1521 |
+
"rewards/chosen": -133.935302734375,
|
1522 |
+
"rewards/margins": 77.81806945800781,
|
1523 |
+
"rewards/rejected": -211.7533416748047,
|
1524 |
+
"step": 1000
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 0.792778649921507,
|
1528 |
+
"grad_norm": 18.4502462246621,
|
1529 |
+
"learning_rate": 6.26627103495786e-08,
|
1530 |
+
"logits/chosen": 5698.8525390625,
|
1531 |
+
"logits/rejected": 4684.4365234375,
|
1532 |
+
"logps/chosen": -344.99969482421875,
|
1533 |
+
"logps/rejected": -406.09136962890625,
|
1534 |
+
"loss": 0.626,
|
1535 |
+
"rewards/accuracies": 0.7166666984558105,
|
1536 |
+
"rewards/chosen": -130.29049682617188,
|
1537 |
+
"rewards/margins": 84.36732482910156,
|
1538 |
+
"rewards/rejected": -214.6577911376953,
|
1539 |
+
"step": 1010
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 0.8006279434850864,
|
1543 |
+
"grad_norm": 13.030843283044183,
|
1544 |
+
"learning_rate": 5.8195524386862374e-08,
|
1545 |
+
"logits/chosen": 5804.3681640625,
|
1546 |
+
"logits/rejected": 5112.267578125,
|
1547 |
+
"logps/chosen": -367.52532958984375,
|
1548 |
+
"logps/rejected": -445.23822021484375,
|
1549 |
+
"loss": 0.6133,
|
1550 |
+
"rewards/accuracies": 0.8083332777023315,
|
1551 |
+
"rewards/chosen": -119.3467025756836,
|
1552 |
+
"rewards/margins": 99.81084442138672,
|
1553 |
+
"rewards/rejected": -219.15756225585938,
|
1554 |
+
"step": 1020
|
1555 |
+
},
|
1556 |
+
{
|
1557 |
+
"epoch": 0.8084772370486656,
|
1558 |
+
"grad_norm": 15.435517078983278,
|
1559 |
+
"learning_rate": 5.38724709671092e-08,
|
1560 |
+
"logits/chosen": 6208.55615234375,
|
1561 |
+
"logits/rejected": 5785.6513671875,
|
1562 |
+
"logps/chosen": -368.04693603515625,
|
1563 |
+
"logps/rejected": -461.67291259765625,
|
1564 |
+
"loss": 0.6042,
|
1565 |
+
"rewards/accuracies": 0.783333420753479,
|
1566 |
+
"rewards/chosen": -136.5785675048828,
|
1567 |
+
"rewards/margins": 91.97505950927734,
|
1568 |
+
"rewards/rejected": -228.5536346435547,
|
1569 |
+
"step": 1030
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.8163265306122449,
|
1573 |
+
"grad_norm": 19.196729996375815,
|
1574 |
+
"learning_rate": 4.969679867292276e-08,
|
1575 |
+
"logits/chosen": 5469.60595703125,
|
1576 |
+
"logits/rejected": 4901.0498046875,
|
1577 |
+
"logps/chosen": -360.51763916015625,
|
1578 |
+
"logps/rejected": -447.8094177246094,
|
1579 |
+
"loss": 0.6096,
|
1580 |
+
"rewards/accuracies": 0.73333340883255,
|
1581 |
+
"rewards/chosen": -140.41592407226562,
|
1582 |
+
"rewards/margins": 98.20952606201172,
|
1583 |
+
"rewards/rejected": -238.62545776367188,
|
1584 |
+
"step": 1040
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.8241758241758241,
|
1588 |
+
"grad_norm": 15.63885700925835,
|
1589 |
+
"learning_rate": 4.5671645336537416e-08,
|
1590 |
+
"logits/chosen": 5541.3017578125,
|
1591 |
+
"logits/rejected": 4979.87890625,
|
1592 |
+
"logps/chosen": -379.06878662109375,
|
1593 |
+
"logps/rejected": -450.43927001953125,
|
1594 |
+
"loss": 0.6099,
|
1595 |
+
"rewards/accuracies": 0.7833333611488342,
|
1596 |
+
"rewards/chosen": -141.58819580078125,
|
1597 |
+
"rewards/margins": 93.05669403076172,
|
1598 |
+
"rewards/rejected": -234.6448974609375,
|
1599 |
+
"step": 1050
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.8320251177394035,
|
1603 |
+
"grad_norm": 71.6555736263913,
|
1604 |
+
"learning_rate": 4.180003568187776e-08,
|
1605 |
+
"logits/chosen": 6864.1591796875,
|
1606 |
+
"logits/rejected": 5329.9736328125,
|
1607 |
+
"logps/chosen": -406.0521240234375,
|
1608 |
+
"logps/rejected": -433.7730407714844,
|
1609 |
+
"loss": 0.6267,
|
1610 |
+
"rewards/accuracies": 0.7083333730697632,
|
1611 |
+
"rewards/chosen": -145.0647430419922,
|
1612 |
+
"rewards/margins": 68.66908264160156,
|
1613 |
+
"rewards/rejected": -213.7338409423828,
|
1614 |
+
"step": 1060
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 0.8398744113029827,
|
1618 |
+
"grad_norm": 17.29969333705125,
|
1619 |
+
"learning_rate": 3.8084879051612144e-08,
|
1620 |
+
"logits/chosen": 5685.4697265625,
|
1621 |
+
"logits/rejected": 5125.021484375,
|
1622 |
+
"logps/chosen": -358.2772521972656,
|
1623 |
+
"logps/rejected": -418.6520080566406,
|
1624 |
+
"loss": 0.6134,
|
1625 |
+
"rewards/accuracies": 0.7666667103767395,
|
1626 |
+
"rewards/chosen": -133.0342559814453,
|
1627 |
+
"rewards/margins": 92.45338439941406,
|
1628 |
+
"rewards/rejected": -225.48764038085938,
|
1629 |
+
"step": 1070
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 0.847723704866562,
|
1633 |
+
"grad_norm": 16.62350096619966,
|
1634 |
+
"learning_rate": 3.452896722091128e-08,
|
1635 |
+
"logits/chosen": 6247.75927734375,
|
1636 |
+
"logits/rejected": 4747.95556640625,
|
1637 |
+
"logps/chosen": -398.6324462890625,
|
1638 |
+
"logps/rejected": -429.2178649902344,
|
1639 |
+
"loss": 0.6032,
|
1640 |
+
"rewards/accuracies": 0.7833333611488342,
|
1641 |
+
"rewards/chosen": -132.06317138671875,
|
1642 |
+
"rewards/margins": 96.17476654052734,
|
1643 |
+
"rewards/rejected": -228.23794555664062,
|
1644 |
+
"step": 1080
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 0.8555729984301413,
|
1648 |
+
"grad_norm": 20.56158228380985,
|
1649 |
+
"learning_rate": 3.11349722995527e-08,
|
1650 |
+
"logits/chosen": 6290.5673828125,
|
1651 |
+
"logits/rejected": 4655.23974609375,
|
1652 |
+
"logps/chosen": -363.40936279296875,
|
1653 |
+
"logps/rejected": -426.296630859375,
|
1654 |
+
"loss": 0.6032,
|
1655 |
+
"rewards/accuracies": 0.7333332896232605,
|
1656 |
+
"rewards/chosen": -135.9347381591797,
|
1657 |
+
"rewards/margins": 77.47732543945312,
|
1658 |
+
"rewards/rejected": -213.4120635986328,
|
1659 |
+
"step": 1090
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 0.8634222919937206,
|
1663 |
+
"grad_norm": 17.638845220024372,
|
1664 |
+
"learning_rate": 2.7905444723949762e-08,
|
1665 |
+
"logits/chosen": 6115.4248046875,
|
1666 |
+
"logits/rejected": 4982.52685546875,
|
1667 |
+
"logps/chosen": -377.2098388671875,
|
1668 |
+
"logps/rejected": -429.16619873046875,
|
1669 |
+
"loss": 0.6167,
|
1670 |
+
"rewards/accuracies": 0.7583333253860474,
|
1671 |
+
"rewards/chosen": -138.67349243164062,
|
1672 |
+
"rewards/margins": 100.99529266357422,
|
1673 |
+
"rewards/rejected": -239.66879272460938,
|
1674 |
+
"step": 1100
|
1675 |
+
},
|
1676 |
+
{
|
1677 |
+
"epoch": 0.8712715855572999,
|
1678 |
+
"grad_norm": 18.82352427435552,
|
1679 |
+
"learning_rate": 2.484281134061142e-08,
|
1680 |
+
"logits/chosen": 6460.3466796875,
|
1681 |
+
"logits/rejected": 5133.16796875,
|
1682 |
+
"logps/chosen": -407.51690673828125,
|
1683 |
+
"logps/rejected": -459.20721435546875,
|
1684 |
+
"loss": 0.608,
|
1685 |
+
"rewards/accuracies": 0.7916666269302368,
|
1686 |
+
"rewards/chosen": -142.90335083007812,
|
1687 |
+
"rewards/margins": 94.03584289550781,
|
1688 |
+
"rewards/rejected": -236.939208984375,
|
1689 |
+
"step": 1110
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.8791208791208791,
|
1693 |
+
"grad_norm": 38.731872878926325,
|
1694 |
+
"learning_rate": 2.194937358247506e-08,
|
1695 |
+
"logits/chosen": 6330.7939453125,
|
1696 |
+
"logits/rejected": 5062.67822265625,
|
1697 |
+
"logps/chosen": -387.6415100097656,
|
1698 |
+
"logps/rejected": -456.4393615722656,
|
1699 |
+
"loss": 0.611,
|
1700 |
+
"rewards/accuracies": 0.7500001192092896,
|
1701 |
+
"rewards/chosen": -142.5010223388672,
|
1702 |
+
"rewards/margins": 97.16749572753906,
|
1703 |
+
"rewards/rejected": -239.6685333251953,
|
1704 |
+
"step": 1120
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 0.8869701726844584,
|
1708 |
+
"grad_norm": 21.93873798257166,
|
1709 |
+
"learning_rate": 1.9227305739481612e-08,
|
1710 |
+
"logits/chosen": 5757.74462890625,
|
1711 |
+
"logits/rejected": 4450.82373046875,
|
1712 |
+
"logps/chosen": -360.2721862792969,
|
1713 |
+
"logps/rejected": -406.9669189453125,
|
1714 |
+
"loss": 0.6027,
|
1715 |
+
"rewards/accuracies": 0.7250000238418579,
|
1716 |
+
"rewards/chosen": -125.49015045166016,
|
1717 |
+
"rewards/margins": 101.2511978149414,
|
1718 |
+
"rewards/rejected": -226.7413330078125,
|
1719 |
+
"step": 1130
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 0.8948194662480377,
|
1723 |
+
"grad_norm": 21.229892802861798,
|
1724 |
+
"learning_rate": 1.6678653324693787e-08,
|
1725 |
+
"logits/chosen": 6381.58935546875,
|
1726 |
+
"logits/rejected": 5084.40478515625,
|
1727 |
+
"logps/chosen": -392.08349609375,
|
1728 |
+
"logps/rejected": -447.29827880859375,
|
1729 |
+
"loss": 0.5978,
|
1730 |
+
"rewards/accuracies": 0.7416666746139526,
|
1731 |
+
"rewards/chosen": -134.46275329589844,
|
1732 |
+
"rewards/margins": 92.02247619628906,
|
1733 |
+
"rewards/rejected": -226.48526000976562,
|
1734 |
+
"step": 1140
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 0.902668759811617,
|
1738 |
+
"grad_norm": 11.998405903395946,
|
1739 |
+
"learning_rate": 1.4305331537183384e-08,
|
1740 |
+
"logits/chosen": 5625.76708984375,
|
1741 |
+
"logits/rejected": 5091.146484375,
|
1742 |
+
"logps/chosen": -361.97503662109375,
|
1743 |
+
"logps/rejected": -438.71697998046875,
|
1744 |
+
"loss": 0.6003,
|
1745 |
+
"rewards/accuracies": 0.7416666746139526,
|
1746 |
+
"rewards/chosen": -134.9916229248047,
|
1747 |
+
"rewards/margins": 84.23737335205078,
|
1748 |
+
"rewards/rejected": -219.22900390625,
|
1749 |
+
"step": 1150
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 0.9105180533751962,
|
1753 |
+
"grad_norm": 20.001421395632878,
|
1754 |
+
"learning_rate": 1.2109123822844653e-08,
|
1755 |
+
"logits/chosen": 5778.00634765625,
|
1756 |
+
"logits/rejected": 4505.45849609375,
|
1757 |
+
"logps/chosen": -367.82598876953125,
|
1758 |
+
"logps/rejected": -416.082275390625,
|
1759 |
+
"loss": 0.6137,
|
1760 |
+
"rewards/accuracies": 0.7416666746139526,
|
1761 |
+
"rewards/chosen": -139.2692108154297,
|
1762 |
+
"rewards/margins": 80.87498474121094,
|
1763 |
+
"rewards/rejected": -220.14419555664062,
|
1764 |
+
"step": 1160
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 0.9183673469387755,
|
1768 |
+
"grad_norm": 18.383575962086507,
|
1769 |
+
"learning_rate": 1.0091680534213387e-08,
|
1770 |
+
"logits/chosen": 6360.2177734375,
|
1771 |
+
"logits/rejected": 6036.2529296875,
|
1772 |
+
"logps/chosen": -372.2303771972656,
|
1773 |
+
"logps/rejected": -475.2777404785156,
|
1774 |
+
"loss": 0.6101,
|
1775 |
+
"rewards/accuracies": 0.7416666746139526,
|
1776 |
+
"rewards/chosen": -129.28201293945312,
|
1777 |
+
"rewards/margins": 99.24874877929688,
|
1778 |
+
"rewards/rejected": -228.53073120117188,
|
1779 |
+
"step": 1170
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 0.9262166405023547,
|
1783 |
+
"grad_norm": 26.20378993221473,
|
1784 |
+
"learning_rate": 8.254517690300944e-09,
|
1785 |
+
"logits/chosen": 5551.3759765625,
|
1786 |
+
"logits/rejected": 4948.4052734375,
|
1787 |
+
"logps/chosen": -368.40777587890625,
|
1788 |
+
"logps/rejected": -442.9326171875,
|
1789 |
+
"loss": 0.6049,
|
1790 |
+
"rewards/accuracies": 0.7583333253860474,
|
1791 |
+
"rewards/chosen": -128.46182250976562,
|
1792 |
+
"rewards/margins": 97.64901733398438,
|
1793 |
+
"rewards/rejected": -226.11083984375,
|
1794 |
+
"step": 1180
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.9340659340659341,
|
1798 |
+
"grad_norm": 12.632107820641844,
|
1799 |
+
"learning_rate": 6.599015837372907e-09,
|
1800 |
+
"logits/chosen": 6045.20654296875,
|
1801 |
+
"logits/rejected": 5189.9599609375,
|
1802 |
+
"logps/chosen": -404.6395568847656,
|
1803 |
+
"logps/rejected": -457.1123046875,
|
1804 |
+
"loss": 0.6143,
|
1805 |
+
"rewards/accuracies": 0.7333332896232605,
|
1806 |
+
"rewards/chosen": -155.75405883789062,
|
1807 |
+
"rewards/margins": 84.20575714111328,
|
1808 |
+
"rewards/rejected": -239.95980834960938,
|
1809 |
+
"step": 1190
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 0.9419152276295133,
|
1813 |
+
"grad_norm": 32.82134972014968,
|
1814 |
+
"learning_rate": 5.126419011529992e-09,
|
1815 |
+
"logits/chosen": 6301.2685546875,
|
1816 |
+
"logits/rejected": 5249.4482421875,
|
1817 |
+
"logps/chosen": -383.8853454589844,
|
1818 |
+
"logps/rejected": -460.536865234375,
|
1819 |
+
"loss": 0.6054,
|
1820 |
+
"rewards/accuracies": 0.8500000238418579,
|
1821 |
+
"rewards/chosen": -128.22366333007812,
|
1822 |
+
"rewards/margins": 113.64762878417969,
|
1823 |
+
"rewards/rejected": -241.8712921142578,
|
1824 |
+
"step": 1200
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 0.9497645211930926,
|
1828 |
+
"grad_norm": 22.184372964812642,
|
1829 |
+
"learning_rate": 3.837833803870177e-09,
|
1830 |
+
"logits/chosen": 5859.86279296875,
|
1831 |
+
"logits/rejected": 5063.07080078125,
|
1832 |
+
"logps/chosen": -382.39556884765625,
|
1833 |
+
"logps/rejected": -460.39459228515625,
|
1834 |
+
"loss": 0.6185,
|
1835 |
+
"rewards/accuracies": 0.7666667103767395,
|
1836 |
+
"rewards/chosen": -142.2100830078125,
|
1837 |
+
"rewards/margins": 99.98322296142578,
|
1838 |
+
"rewards/rejected": -242.1933135986328,
|
1839 |
+
"step": 1210
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 0.957613814756672,
|
1843 |
+
"grad_norm": 24.474760694660887,
|
1844 |
+
"learning_rate": 2.734228528934679e-09,
|
1845 |
+
"logits/chosen": 7345.8125,
|
1846 |
+
"logits/rejected": 5270.705078125,
|
1847 |
+
"logps/chosen": -443.3330993652344,
|
1848 |
+
"logps/rejected": -489.99658203125,
|
1849 |
+
"loss": 0.6063,
|
1850 |
+
"rewards/accuracies": 0.73333340883255,
|
1851 |
+
"rewards/chosen": -146.56466674804688,
|
1852 |
+
"rewards/margins": 98.23472595214844,
|
1853 |
+
"rewards/rejected": -244.7993621826172,
|
1854 |
+
"step": 1220
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 0.9654631083202512,
|
1858 |
+
"grad_norm": 23.890847226085217,
|
1859 |
+
"learning_rate": 1.8164324970625645e-09,
|
1860 |
+
"logits/chosen": 6513.2109375,
|
1861 |
+
"logits/rejected": 5010.6240234375,
|
1862 |
+
"logps/chosen": -391.34930419921875,
|
1863 |
+
"logps/rejected": -439.3382263183594,
|
1864 |
+
"loss": 0.6264,
|
1865 |
+
"rewards/accuracies": 0.7749999761581421,
|
1866 |
+
"rewards/chosen": -130.76763916015625,
|
1867 |
+
"rewards/margins": 95.57390594482422,
|
1868 |
+
"rewards/rejected": -226.341552734375,
|
1869 |
+
"step": 1230
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 0.9733124018838305,
|
1873 |
+
"grad_norm": 20.592256484362352,
|
1874 |
+
"learning_rate": 1.0851353912008642e-09,
|
1875 |
+
"logits/chosen": 5547.0556640625,
|
1876 |
+
"logits/rejected": 5059.66015625,
|
1877 |
+
"logps/chosen": -377.5496826171875,
|
1878 |
+
"logps/rejected": -469.046630859375,
|
1879 |
+
"loss": 0.6146,
|
1880 |
+
"rewards/accuracies": 0.7333332896232605,
|
1881 |
+
"rewards/chosen": -145.93728637695312,
|
1882 |
+
"rewards/margins": 87.95149230957031,
|
1883 |
+
"rewards/rejected": -233.88876342773438,
|
1884 |
+
"step": 1240
|
1885 |
+
},
|
1886 |
+
{
|
1887 |
+
"epoch": 0.9811616954474097,
|
1888 |
+
"grad_norm": 15.042680729243902,
|
1889 |
+
"learning_rate": 5.408867486384471e-10,
|
1890 |
+
"logits/chosen": 5707.8701171875,
|
1891 |
+
"logits/rejected": 4727.94921875,
|
1892 |
+
"logps/chosen": -356.4093017578125,
|
1893 |
+
"logps/rejected": -407.896728515625,
|
1894 |
+
"loss": 0.6075,
|
1895 |
+
"rewards/accuracies": 0.7916666269302368,
|
1896 |
+
"rewards/chosen": -126.1011734008789,
|
1897 |
+
"rewards/margins": 92.36528778076172,
|
1898 |
+
"rewards/rejected": -218.46646118164062,
|
1899 |
+
"step": 1250
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.989010989010989,
|
1903 |
+
"grad_norm": 17.914310013144693,
|
1904 |
+
"learning_rate": 1.840955480532924e-10,
|
1905 |
+
"logits/chosen": 5406.544921875,
|
1906 |
+
"logits/rejected": 5018.2861328125,
|
1907 |
+
"logps/chosen": -360.8941955566406,
|
1908 |
+
"logps/rejected": -435.3475646972656,
|
1909 |
+
"loss": 0.6055,
|
1910 |
+
"rewards/accuracies": 0.75,
|
1911 |
+
"rewards/chosen": -128.73361206054688,
|
1912 |
+
"rewards/margins": 90.288818359375,
|
1913 |
+
"rewards/rejected": -219.02243041992188,
|
1914 |
+
"step": 1260
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 0.9968602825745683,
|
1918 |
+
"grad_norm": 19.6748421836041,
|
1919 |
+
"learning_rate": 1.502990218302247e-11,
|
1920 |
+
"logits/chosen": 5662.17626953125,
|
1921 |
+
"logits/rejected": 4531.2763671875,
|
1922 |
+
"logps/chosen": -363.6100158691406,
|
1923 |
+
"logps/rejected": -417.36590576171875,
|
1924 |
+
"loss": 0.6148,
|
1925 |
+
"rewards/accuracies": 0.7916666269302368,
|
1926 |
+
"rewards/chosen": -139.1360321044922,
|
1927 |
+
"rewards/margins": 91.9256362915039,
|
1928 |
+
"rewards/rejected": -231.06167602539062,
|
1929 |
+
"step": 1270
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 1.0,
|
1933 |
+
"step": 1274,
|
1934 |
+
"total_flos": 0.0,
|
1935 |
+
"train_loss": 0.6281878652527718,
|
1936 |
+
"train_runtime": 14442.3019,
|
1937 |
+
"train_samples_per_second": 4.233,
|
1938 |
+
"train_steps_per_second": 0.088
|
1939 |
+
}
|
1940 |
+
],
|
1941 |
+
"logging_steps": 10,
|
1942 |
+
"max_steps": 1274,
|
1943 |
+
"num_input_tokens_seen": 0,
|
1944 |
+
"num_train_epochs": 1,
|
1945 |
+
"save_steps": 2000,
|
1946 |
+
"stateful_callbacks": {
|
1947 |
+
"TrainerControl": {
|
1948 |
+
"args": {
|
1949 |
+
"should_epoch_stop": false,
|
1950 |
+
"should_evaluate": false,
|
1951 |
+
"should_log": false,
|
1952 |
+
"should_save": false,
|
1953 |
+
"should_training_stop": false
|
1954 |
+
},
|
1955 |
+
"attributes": {}
|
1956 |
+
}
|
1957 |
+
},
|
1958 |
+
"total_flos": 0.0,
|
1959 |
+
"train_batch_size": 6,
|
1960 |
+
"trial_name": null,
|
1961 |
+
"trial_params": null
|
1962 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:005f074ad4c7d1645f1a3be8015fbb361e2a3ca6f0e8de151941ada35f151da4
|
3 |
+
size 7288
|