Model save
Browse files- .gitattributes +1 -0
- README.md +62 -0
- all_results.json +8 -0
- config.json +28 -0
- generation_config.json +7 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +261 -0
- runs/Feb29_14-35-38_ip-26-0-166-244/events.out.tfevents.1709217561.ip-26-0-166-244.3503402.0 +3 -0
- runs/Feb29_14-40-22_ip-26-0-166-244/events.out.tfevents.1709217651.ip-26-0-166-244.3505275.0 +3 -0
- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer_config.json +70 -0
- train_results.json +8 -0
- trainer_state.json +1290 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
base_model: google/gemma-7b
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- generator
|
10 |
+
model-index:
|
11 |
+
- name: gemma-7b-sft-full-deita-10k-v0
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# gemma-7b-sft-full-deita-10k-v0
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
|
21 |
+
|
22 |
+
## Model description
|
23 |
+
|
24 |
+
More information needed
|
25 |
+
|
26 |
+
## Intended uses & limitations
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Training and evaluation data
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Training procedure
|
35 |
+
|
36 |
+
### Training hyperparameters
|
37 |
+
|
38 |
+
The following hyperparameters were used during training:
|
39 |
+
- learning_rate: 2e-05
|
40 |
+
- train_batch_size: 4
|
41 |
+
- eval_batch_size: 16
|
42 |
+
- seed: 42
|
43 |
+
- distributed_type: multi-GPU
|
44 |
+
- num_devices: 8
|
45 |
+
- gradient_accumulation_steps: 4
|
46 |
+
- total_train_batch_size: 128
|
47 |
+
- total_eval_batch_size: 128
|
48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
49 |
+
- lr_scheduler_type: cosine
|
50 |
+
- lr_scheduler_warmup_ratio: 0.1
|
51 |
+
- num_epochs: 3
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
|
56 |
+
|
57 |
+
### Framework versions
|
58 |
+
|
59 |
+
- Transformers 4.39.0.dev0
|
60 |
+
- Pytorch 2.1.2+cu121
|
61 |
+
- Datasets 2.14.6
|
62 |
+
- Tokenizers 0.15.1
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.99,
|
3 |
+
"train_loss": 1.0102584746104553,
|
4 |
+
"train_runtime": 5029.5541,
|
5 |
+
"train_samples": 9500,
|
6 |
+
"train_samples_per_second": 22.861,
|
7 |
+
"train_steps_per_second": 0.178
|
8 |
+
}
|
config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/gemma-7b",
|
3 |
+
"architectures": [
|
4 |
+
"GemmaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 2,
|
9 |
+
"eos_token_id": 1,
|
10 |
+
"head_dim": 256,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_size": 3072,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 24576,
|
15 |
+
"max_position_embeddings": 8192,
|
16 |
+
"model_type": "gemma",
|
17 |
+
"num_attention_heads": 16,
|
18 |
+
"num_hidden_layers": 28,
|
19 |
+
"num_key_value_heads": 16,
|
20 |
+
"pad_token_id": 0,
|
21 |
+
"rms_norm_eps": 1e-06,
|
22 |
+
"rope_scaling": null,
|
23 |
+
"rope_theta": 10000.0,
|
24 |
+
"torch_dtype": "bfloat16",
|
25 |
+
"transformers_version": "4.39.0.dev0",
|
26 |
+
"use_cache": false,
|
27 |
+
"vocab_size": 256000
|
28 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 2,
|
4 |
+
"eos_token_id": 1,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.39.0.dev0"
|
7 |
+
}
|
model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9cd7c1a97e7fce0e4c931e5b71a56375c5177f88f56df74fa914458fed3dab67
|
3 |
+
size 4995496656
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5af2d45d1afc3f1aa1109b194f97afb3ec1c0da3bf5bb4808c076657d0890b17
|
3 |
+
size 4982953168
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:63f7bd6ce0aac24da11e0d16ecff0c43572d39be9782b03a956e27d8e9d8efde
|
3 |
+
size 4982953200
|
model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6760ea6ed166c1286837dd36ed8675aa1f900f69905a3b7a8002e14f660efc83
|
3 |
+
size 2113988336
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,261 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 17075361792
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
7 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
12 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
13 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
14 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
15 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
16 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
17 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
18 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
26 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
27 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
28 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
29 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
30 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
31 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
32 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
71 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
72 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
73 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
74 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
75 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
80 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
81 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
82 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
83 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
84 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
85 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
86 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
87 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
88 |
+
"model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
89 |
+
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
90 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
91 |
+
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
92 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
93 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
94 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
95 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
96 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
97 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
98 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
99 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
100 |
+
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
101 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
102 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
103 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
104 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
105 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
106 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
107 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
108 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
109 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
110 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
111 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
112 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
113 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
114 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
115 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
116 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
117 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
118 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
119 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
120 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
121 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
122 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
123 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
124 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
125 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
126 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
127 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
128 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
129 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
130 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
131 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
132 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
133 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
134 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
135 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
136 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
137 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
138 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
139 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
140 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
141 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
142 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
143 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
144 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
145 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
146 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
147 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
148 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
149 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
150 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
151 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
152 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
153 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
154 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
155 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
156 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
157 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
158 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
159 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
160 |
+
"model.layers.24.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
161 |
+
"model.layers.24.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
162 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
163 |
+
"model.layers.24.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
164 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
165 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
166 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
167 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
168 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
169 |
+
"model.layers.25.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
170 |
+
"model.layers.25.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
171 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
172 |
+
"model.layers.25.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
173 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
174 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
175 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
176 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
177 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
178 |
+
"model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
179 |
+
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
180 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
181 |
+
"model.layers.26.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
182 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
183 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
184 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
185 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
186 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
187 |
+
"model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
188 |
+
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
189 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
190 |
+
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
191 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
192 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
193 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
194 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
195 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
196 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
197 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
198 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
199 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
200 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
201 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
202 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
203 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
204 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
205 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
206 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
207 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
208 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
209 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
210 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
211 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
212 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
213 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
214 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
215 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
216 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
217 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
218 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
219 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
220 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
221 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
222 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
223 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
224 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
225 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
226 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
227 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
228 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
229 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
230 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
231 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
232 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
233 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
234 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
235 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
236 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
237 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
238 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
239 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
240 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
241 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
242 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
243 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
244 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
245 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
246 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
247 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
248 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
249 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
250 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
251 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
252 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
253 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
254 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
255 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
256 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
257 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
258 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
259 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
260 |
+
}
|
261 |
+
}
|
runs/Feb29_14-35-38_ip-26-0-166-244/events.out.tfevents.1709217561.ip-26-0-166-244.3503402.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83e94801fda6f4c941cd46f4bd55cd122c3d9b8e29f94ab1c37e7a8c685bcb1a
|
3 |
+
size 4933
|
runs/Feb29_14-40-22_ip-26-0-166-244/events.out.tfevents.1709217651.ip-26-0-166-244.3505275.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:30e65ff7e088bd456f847ca03823fa8a44462667d2763dd4c2fcda31e5e06f9c
|
3 |
+
size 42956
|
special_tokens_map.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>"
|
5 |
+
],
|
6 |
+
"bos_token": {
|
7 |
+
"content": "<bos>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"eos_token": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
},
|
20 |
+
"pad_token": {
|
21 |
+
"content": "<pad>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"unk_token": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
+
}
|
34 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22449cb9ef4bad0db7dd93b46ddff7ab7d6a654dd4f903e130ddb6361eac3af5
|
3 |
+
size 17477473
|
tokenizer_config.json
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<pad>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<bos>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"3": {
|
30 |
+
"content": "<unk>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"106": {
|
38 |
+
"content": "<|im_start|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"107": {
|
46 |
+
"content": "<|im_end|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
}
|
53 |
+
},
|
54 |
+
"additional_special_tokens": [
|
55 |
+
"<|im_start|>",
|
56 |
+
"<|im_end|>"
|
57 |
+
],
|
58 |
+
"bos_token": "<bos>",
|
59 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% else %}{{ eos_token }}{% endif %}",
|
60 |
+
"clean_up_tokenization_spaces": false,
|
61 |
+
"eos_token": "<eos>",
|
62 |
+
"legacy": null,
|
63 |
+
"model_max_length": 2048,
|
64 |
+
"pad_token": "<pad>",
|
65 |
+
"sp_model_kwargs": {},
|
66 |
+
"spaces_between_special_tokens": false,
|
67 |
+
"tokenizer_class": "GemmaTokenizer",
|
68 |
+
"unk_token": "<unk>",
|
69 |
+
"use_default_system_prompt": false
|
70 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.99,
|
3 |
+
"train_loss": 1.0102584746104553,
|
4 |
+
"train_runtime": 5029.5541,
|
5 |
+
"train_samples": 9500,
|
6 |
+
"train_samples_per_second": 22.861,
|
7 |
+
"train_steps_per_second": 0.178
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1290 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.994991652754591,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 897,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"grad_norm": 1611.325982263448,
|
14 |
+
"learning_rate": 2.2222222222222224e-07,
|
15 |
+
"loss": 14.3706,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02,
|
20 |
+
"grad_norm": 1203.709045070288,
|
21 |
+
"learning_rate": 1.111111111111111e-06,
|
22 |
+
"loss": 14.0095,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.03,
|
27 |
+
"grad_norm": 317.62260508814944,
|
28 |
+
"learning_rate": 2.222222222222222e-06,
|
29 |
+
"loss": 7.0245,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.05,
|
34 |
+
"grad_norm": 140.7698798601618,
|
35 |
+
"learning_rate": 3.3333333333333333e-06,
|
36 |
+
"loss": 3.2406,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.07,
|
41 |
+
"grad_norm": 53.214014098542116,
|
42 |
+
"learning_rate": 4.444444444444444e-06,
|
43 |
+
"loss": 2.3518,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08,
|
48 |
+
"grad_norm": 32.80877069708861,
|
49 |
+
"learning_rate": 5.555555555555557e-06,
|
50 |
+
"loss": 1.9155,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.1,
|
55 |
+
"grad_norm": 18.406728342109837,
|
56 |
+
"learning_rate": 6.666666666666667e-06,
|
57 |
+
"loss": 1.7744,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.12,
|
62 |
+
"grad_norm": 15.70206361537138,
|
63 |
+
"learning_rate": 7.77777777777778e-06,
|
64 |
+
"loss": 1.6662,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.13,
|
69 |
+
"grad_norm": 9.680796676938787,
|
70 |
+
"learning_rate": 8.888888888888888e-06,
|
71 |
+
"loss": 1.5805,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.15,
|
76 |
+
"grad_norm": 9.949620133147931,
|
77 |
+
"learning_rate": 1e-05,
|
78 |
+
"loss": 1.5108,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.17,
|
83 |
+
"grad_norm": 17.89818156462526,
|
84 |
+
"learning_rate": 1.1111111111111113e-05,
|
85 |
+
"loss": 1.4516,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.18,
|
90 |
+
"grad_norm": 9.463874703914655,
|
91 |
+
"learning_rate": 1.2222222222222224e-05,
|
92 |
+
"loss": 1.386,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.2,
|
97 |
+
"grad_norm": 16.600372205018896,
|
98 |
+
"learning_rate": 1.3333333333333333e-05,
|
99 |
+
"loss": 1.3472,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.22,
|
104 |
+
"grad_norm": 6.591121067230071,
|
105 |
+
"learning_rate": 1.4444444444444446e-05,
|
106 |
+
"loss": 1.3051,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.23,
|
111 |
+
"grad_norm": 17.026560958812688,
|
112 |
+
"learning_rate": 1.555555555555556e-05,
|
113 |
+
"loss": 1.2846,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.25,
|
118 |
+
"grad_norm": 11.244332052116006,
|
119 |
+
"learning_rate": 1.6666666666666667e-05,
|
120 |
+
"loss": 1.2202,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.27,
|
125 |
+
"grad_norm": 21.171092249623154,
|
126 |
+
"learning_rate": 1.7777777777777777e-05,
|
127 |
+
"loss": 1.1422,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.28,
|
132 |
+
"grad_norm": 79.69525524449374,
|
133 |
+
"learning_rate": 1.888888888888889e-05,
|
134 |
+
"loss": 1.2502,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.3,
|
139 |
+
"grad_norm": 48.3592163956308,
|
140 |
+
"learning_rate": 2e-05,
|
141 |
+
"loss": 1.3437,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.32,
|
146 |
+
"grad_norm": 31.60366391829559,
|
147 |
+
"learning_rate": 1.9998105699049984e-05,
|
148 |
+
"loss": 1.2415,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.33,
|
153 |
+
"grad_norm": 14.941685751929072,
|
154 |
+
"learning_rate": 1.9992423513875158e-05,
|
155 |
+
"loss": 1.1521,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.35,
|
160 |
+
"grad_norm": 10.723912828129833,
|
161 |
+
"learning_rate": 1.9982955597229275e-05,
|
162 |
+
"loss": 1.1428,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.37,
|
167 |
+
"grad_norm": 6.661132660781078,
|
168 |
+
"learning_rate": 1.9969705536129033e-05,
|
169 |
+
"loss": 1.1019,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.38,
|
174 |
+
"grad_norm": 11.84763200258169,
|
175 |
+
"learning_rate": 1.9952678350495104e-05,
|
176 |
+
"loss": 1.0693,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4,
|
181 |
+
"grad_norm": 5.584094081913566,
|
182 |
+
"learning_rate": 1.9931880491250263e-05,
|
183 |
+
"loss": 1.06,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.42,
|
188 |
+
"grad_norm": 4.687346480648606,
|
189 |
+
"learning_rate": 1.990731983787542e-05,
|
190 |
+
"loss": 1.0754,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.43,
|
195 |
+
"grad_norm": 8.02176533763531,
|
196 |
+
"learning_rate": 1.987900569542438e-05,
|
197 |
+
"loss": 1.0656,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.45,
|
202 |
+
"grad_norm": 5.890194579215236,
|
203 |
+
"learning_rate": 1.9846948790998532e-05,
|
204 |
+
"loss": 1.0494,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.47,
|
209 |
+
"grad_norm": 5.573476232049487,
|
210 |
+
"learning_rate": 1.9811161269682776e-05,
|
211 |
+
"loss": 1.0246,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.48,
|
216 |
+
"grad_norm": 3.9288708942568094,
|
217 |
+
"learning_rate": 1.9771656689944238e-05,
|
218 |
+
"loss": 1.031,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.5,
|
223 |
+
"grad_norm": 3.4500277726115267,
|
224 |
+
"learning_rate": 1.9728450018495506e-05,
|
225 |
+
"loss": 1.0133,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.52,
|
230 |
+
"grad_norm": 4.717186694916964,
|
231 |
+
"learning_rate": 1.968155762462433e-05,
|
232 |
+
"loss": 0.9788,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.53,
|
237 |
+
"grad_norm": 5.124236034673133,
|
238 |
+
"learning_rate": 1.9630997273991964e-05,
|
239 |
+
"loss": 1.0098,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.55,
|
244 |
+
"grad_norm": 6.845307185570511,
|
245 |
+
"learning_rate": 1.9576788121902457e-05,
|
246 |
+
"loss": 1.0105,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.57,
|
251 |
+
"grad_norm": 4.010533684726192,
|
252 |
+
"learning_rate": 1.951895070604547e-05,
|
253 |
+
"loss": 1.0024,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.58,
|
258 |
+
"grad_norm": 5.096428764017947,
|
259 |
+
"learning_rate": 1.9457506938715357e-05,
|
260 |
+
"loss": 0.9934,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.6,
|
265 |
+
"grad_norm": 12.29708093689668,
|
266 |
+
"learning_rate": 1.9392480098509488e-05,
|
267 |
+
"loss": 0.9722,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.62,
|
272 |
+
"grad_norm": 5.10527746898357,
|
273 |
+
"learning_rate": 1.93238948215089e-05,
|
274 |
+
"loss": 1.005,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.63,
|
279 |
+
"grad_norm": 8.993111720295193,
|
280 |
+
"learning_rate": 1.9251777091944665e-05,
|
281 |
+
"loss": 0.9962,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.65,
|
286 |
+
"grad_norm": 3.4437270374749556,
|
287 |
+
"learning_rate": 1.9176154232353513e-05,
|
288 |
+
"loss": 0.9868,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.67,
|
293 |
+
"grad_norm": 3.771850755773128,
|
294 |
+
"learning_rate": 1.9097054893226395e-05,
|
295 |
+
"loss": 0.9851,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.68,
|
300 |
+
"grad_norm": 4.049218130758563,
|
301 |
+
"learning_rate": 1.9014509042153964e-05,
|
302 |
+
"loss": 0.9738,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.7,
|
307 |
+
"grad_norm": 7.7715704988491385,
|
308 |
+
"learning_rate": 1.8928547952473037e-05,
|
309 |
+
"loss": 1.005,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.72,
|
314 |
+
"grad_norm": 6.146573303594628,
|
315 |
+
"learning_rate": 1.8839204191418386e-05,
|
316 |
+
"loss": 0.9586,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.73,
|
321 |
+
"grad_norm": 8.160744647991924,
|
322 |
+
"learning_rate": 1.8746511607784298e-05,
|
323 |
+
"loss": 0.9808,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.75,
|
328 |
+
"grad_norm": 7.706895037397381,
|
329 |
+
"learning_rate": 1.865050531910062e-05,
|
330 |
+
"loss": 1.0017,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.77,
|
335 |
+
"grad_norm": 11.758878906059278,
|
336 |
+
"learning_rate": 1.855122169832813e-05,
|
337 |
+
"loss": 0.9999,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.78,
|
342 |
+
"grad_norm": 6.613719964629243,
|
343 |
+
"learning_rate": 1.844869836007825e-05,
|
344 |
+
"loss": 0.9546,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.8,
|
349 |
+
"grad_norm": 5.5628300646011075,
|
350 |
+
"learning_rate": 1.8342974146362397e-05,
|
351 |
+
"loss": 0.952,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.82,
|
356 |
+
"grad_norm": 8.005725339426444,
|
357 |
+
"learning_rate": 1.8234089111876256e-05,
|
358 |
+
"loss": 0.9721,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.83,
|
363 |
+
"grad_norm": 3.8142262373421842,
|
364 |
+
"learning_rate": 1.8122084508824692e-05,
|
365 |
+
"loss": 0.9466,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.85,
|
370 |
+
"grad_norm": 3.9283785698082263,
|
371 |
+
"learning_rate": 1.80070027712929e-05,
|
372 |
+
"loss": 0.9714,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.87,
|
377 |
+
"grad_norm": 4.77851405459744,
|
378 |
+
"learning_rate": 1.7888887499169816e-05,
|
379 |
+
"loss": 0.9499,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.88,
|
384 |
+
"grad_norm": 4.591252723643397,
|
385 |
+
"learning_rate": 1.7767783441629883e-05,
|
386 |
+
"loss": 0.9912,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.9,
|
391 |
+
"grad_norm": 4.016605910673708,
|
392 |
+
"learning_rate": 1.7643736480179353e-05,
|
393 |
+
"loss": 0.9566,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.92,
|
398 |
+
"grad_norm": 6.373102607823453,
|
399 |
+
"learning_rate": 1.7516793611273614e-05,
|
400 |
+
"loss": 0.9308,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.93,
|
405 |
+
"grad_norm": 5.834120929511878,
|
406 |
+
"learning_rate": 1.7387002928512093e-05,
|
407 |
+
"loss": 0.9524,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.95,
|
412 |
+
"grad_norm": 3.634655228348776,
|
413 |
+
"learning_rate": 1.725441360441752e-05,
|
414 |
+
"loss": 0.9392,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.97,
|
419 |
+
"grad_norm": 6.620105860028147,
|
420 |
+
"learning_rate": 1.711907587180642e-05,
|
421 |
+
"loss": 0.9351,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.98,
|
426 |
+
"grad_norm": 3.670289326633902,
|
427 |
+
"learning_rate": 1.698104100475788e-05,
|
428 |
+
"loss": 0.9693,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.0,
|
433 |
+
"grad_norm": 5.39460086399978,
|
434 |
+
"learning_rate": 1.684036129918786e-05,
|
435 |
+
"loss": 0.951,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.02,
|
440 |
+
"grad_norm": 4.585629392068035,
|
441 |
+
"learning_rate": 1.6697090053036344e-05,
|
442 |
+
"loss": 0.8574,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.04,
|
447 |
+
"grad_norm": 3.7164245648143464,
|
448 |
+
"learning_rate": 1.6551281546074863e-05,
|
449 |
+
"loss": 0.8819,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.05,
|
454 |
+
"grad_norm": 5.697457454364852,
|
455 |
+
"learning_rate": 1.6402991019342073e-05,
|
456 |
+
"loss": 0.8602,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.07,
|
461 |
+
"grad_norm": 4.644169677070983,
|
462 |
+
"learning_rate": 1.625227465421511e-05,
|
463 |
+
"loss": 0.8301,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.09,
|
468 |
+
"grad_norm": 4.037165905809593,
|
469 |
+
"learning_rate": 1.60991895511247e-05,
|
470 |
+
"loss": 0.8698,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.1,
|
475 |
+
"grad_norm": 4.742488771494794,
|
476 |
+
"learning_rate": 1.5943793707922086e-05,
|
477 |
+
"loss": 0.8465,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.12,
|
482 |
+
"grad_norm": 4.112214119398294,
|
483 |
+
"learning_rate": 1.5786145997905952e-05,
|
484 |
+
"loss": 0.8612,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.14,
|
489 |
+
"grad_norm": 9.430841344870588,
|
490 |
+
"learning_rate": 1.5626306147517665e-05,
|
491 |
+
"loss": 0.8798,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.15,
|
496 |
+
"grad_norm": 10.376642310954942,
|
497 |
+
"learning_rate": 1.5464334713713312e-05,
|
498 |
+
"loss": 0.8482,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.17,
|
503 |
+
"grad_norm": 4.046603696090184,
|
504 |
+
"learning_rate": 1.5300293061021084e-05,
|
505 |
+
"loss": 0.8383,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.19,
|
510 |
+
"grad_norm": 5.823206738990728,
|
511 |
+
"learning_rate": 1.5134243338292686e-05,
|
512 |
+
"loss": 0.8734,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.2,
|
517 |
+
"grad_norm": 4.736067876795748,
|
518 |
+
"learning_rate": 1.4966248455157622e-05,
|
519 |
+
"loss": 0.8449,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.22,
|
524 |
+
"grad_norm": 3.810954674146249,
|
525 |
+
"learning_rate": 1.4796372058189235e-05,
|
526 |
+
"loss": 0.8302,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.24,
|
531 |
+
"grad_norm": 4.844425691427299,
|
532 |
+
"learning_rate": 1.4624678506791556e-05,
|
533 |
+
"loss": 0.8437,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.25,
|
538 |
+
"grad_norm": 3.1753997442211954,
|
539 |
+
"learning_rate": 1.445123284881609e-05,
|
540 |
+
"loss": 0.8671,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.27,
|
545 |
+
"grad_norm": 4.573612034944129,
|
546 |
+
"learning_rate": 1.4276100795917777e-05,
|
547 |
+
"loss": 0.8126,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.29,
|
552 |
+
"grad_norm": 3.6271701232281752,
|
553 |
+
"learning_rate": 1.409934869865945e-05,
|
554 |
+
"loss": 0.8423,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.3,
|
559 |
+
"grad_norm": 4.384171797308968,
|
560 |
+
"learning_rate": 1.392104352137426e-05,
|
561 |
+
"loss": 0.8348,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.32,
|
566 |
+
"grad_norm": 3.572132246822777,
|
567 |
+
"learning_rate": 1.3741252816795552e-05,
|
568 |
+
"loss": 0.8685,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.34,
|
573 |
+
"grad_norm": 7.154463900691466,
|
574 |
+
"learning_rate": 1.3560044700463824e-05,
|
575 |
+
"loss": 0.8234,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.35,
|
580 |
+
"grad_norm": 5.1445903649483355,
|
581 |
+
"learning_rate": 1.3377487824920459e-05,
|
582 |
+
"loss": 0.8603,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.37,
|
587 |
+
"grad_norm": 3.417578210350955,
|
588 |
+
"learning_rate": 1.3193651353698012e-05,
|
589 |
+
"loss": 0.846,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.39,
|
594 |
+
"grad_norm": 2.89568583566464,
|
595 |
+
"learning_rate": 1.30086049351169e-05,
|
596 |
+
"loss": 0.8396,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.4,
|
601 |
+
"grad_norm": 3.7362473425942007,
|
602 |
+
"learning_rate": 1.2822418675898428e-05,
|
603 |
+
"loss": 0.8758,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.42,
|
608 |
+
"grad_norm": 4.330928362220086,
|
609 |
+
"learning_rate": 1.2635163114604131e-05,
|
610 |
+
"loss": 0.8616,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.44,
|
615 |
+
"grad_norm": 3.7106724475482826,
|
616 |
+
"learning_rate": 1.2446909194911552e-05,
|
617 |
+
"loss": 0.8373,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.45,
|
622 |
+
"grad_norm": 3.926542815570075,
|
623 |
+
"learning_rate": 1.2257728238736468e-05,
|
624 |
+
"loss": 0.8383,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.47,
|
629 |
+
"grad_norm": 4.47693007964662,
|
630 |
+
"learning_rate": 1.2067691919211879e-05,
|
631 |
+
"loss": 0.8547,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.49,
|
636 |
+
"grad_norm": 3.990520695042587,
|
637 |
+
"learning_rate": 1.1876872233533909e-05,
|
638 |
+
"loss": 0.8288,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.5,
|
643 |
+
"grad_norm": 3.9073482540862754,
|
644 |
+
"learning_rate": 1.1685341475684935e-05,
|
645 |
+
"loss": 0.8506,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.52,
|
650 |
+
"grad_norm": 4.0981061235737295,
|
651 |
+
"learning_rate": 1.1493172209044259e-05,
|
652 |
+
"loss": 0.8181,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.54,
|
657 |
+
"grad_norm": 3.6983475788184945,
|
658 |
+
"learning_rate": 1.1300437238896758e-05,
|
659 |
+
"loss": 0.8339,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.55,
|
664 |
+
"grad_norm": 3.214152827379248,
|
665 |
+
"learning_rate": 1.1107209584849845e-05,
|
666 |
+
"loss": 0.851,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.57,
|
671 |
+
"grad_norm": 3.350988754839917,
|
672 |
+
"learning_rate": 1.0913562453169241e-05,
|
673 |
+
"loss": 0.8266,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.59,
|
678 |
+
"grad_norm": 7.847759662798763,
|
679 |
+
"learning_rate": 1.0719569209044047e-05,
|
680 |
+
"loss": 0.8429,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.6,
|
685 |
+
"grad_norm": 4.0207776210716215,
|
686 |
+
"learning_rate": 1.0525303348791599e-05,
|
687 |
+
"loss": 0.8498,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.62,
|
692 |
+
"grad_norm": 2.7225943916928963,
|
693 |
+
"learning_rate": 1.0330838472012617e-05,
|
694 |
+
"loss": 0.8215,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.64,
|
699 |
+
"grad_norm": 3.6576366170765597,
|
700 |
+
"learning_rate": 1.0136248253707267e-05,
|
701 |
+
"loss": 0.8307,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.65,
|
706 |
+
"grad_norm": 3.4227860041960665,
|
707 |
+
"learning_rate": 9.94160641636263e-06,
|
708 |
+
"loss": 0.8148,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.67,
|
713 |
+
"grad_norm": 3.111038433143253,
|
714 |
+
"learning_rate": 9.74698670202218e-06,
|
715 |
+
"loss": 0.8443,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.69,
|
720 |
+
"grad_norm": 3.252772592031176,
|
721 |
+
"learning_rate": 9.552462844347883e-06,
|
722 |
+
"loss": 0.8438,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.7,
|
727 |
+
"grad_norm": 4.718741450931272,
|
728 |
+
"learning_rate": 9.358108540685406e-06,
|
729 |
+
"loss": 0.832,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.72,
|
734 |
+
"grad_norm": 3.839793400271427,
|
735 |
+
"learning_rate": 9.163997424143167e-06,
|
736 |
+
"loss": 0.8159,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 1.74,
|
741 |
+
"grad_norm": 3.0905029907583432,
|
742 |
+
"learning_rate": 8.970203035695662e-06,
|
743 |
+
"loss": 0.8561,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 1.75,
|
748 |
+
"grad_norm": 2.9454863037823777,
|
749 |
+
"learning_rate": 8.776798796321715e-06,
|
750 |
+
"loss": 0.8482,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 1.77,
|
755 |
+
"grad_norm": 4.171404088039613,
|
756 |
+
"learning_rate": 8.583857979188203e-06,
|
757 |
+
"loss": 0.8027,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.79,
|
762 |
+
"grad_norm": 2.8741497032915415,
|
763 |
+
"learning_rate": 8.391453681889772e-06,
|
764 |
+
"loss": 0.8452,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 1.8,
|
769 |
+
"grad_norm": 3.618045180794514,
|
770 |
+
"learning_rate": 8.199658798755048e-06,
|
771 |
+
"loss": 0.846,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 1.82,
|
776 |
+
"grad_norm": 4.5919678070450445,
|
777 |
+
"learning_rate": 8.008545993229897e-06,
|
778 |
+
"loss": 0.8259,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.84,
|
783 |
+
"grad_norm": 3.286397180719563,
|
784 |
+
"learning_rate": 7.818187670348133e-06,
|
785 |
+
"loss": 0.8292,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.85,
|
790 |
+
"grad_norm": 3.273535359111842,
|
791 |
+
"learning_rate": 7.628655949300133e-06,
|
792 |
+
"loss": 0.8338,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.87,
|
797 |
+
"grad_norm": 3.15565303365465,
|
798 |
+
"learning_rate": 7.440022636109742e-06,
|
799 |
+
"loss": 0.818,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.89,
|
804 |
+
"grad_norm": 3.1548763199568035,
|
805 |
+
"learning_rate": 7.2523591964298345e-06,
|
806 |
+
"loss": 0.8485,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.9,
|
811 |
+
"grad_norm": 3.1540649270721524,
|
812 |
+
"learning_rate": 7.065736728466832e-06,
|
813 |
+
"loss": 0.819,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.92,
|
818 |
+
"grad_norm": 4.373590862563539,
|
819 |
+
"learning_rate": 6.880225936044402e-06,
|
820 |
+
"loss": 0.8031,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.94,
|
825 |
+
"grad_norm": 3.1586070204270467,
|
826 |
+
"learning_rate": 6.695897101816606e-06,
|
827 |
+
"loss": 0.8406,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.95,
|
832 |
+
"grad_norm": 2.9568635260100127,
|
833 |
+
"learning_rate": 6.512820060640608e-06,
|
834 |
+
"loss": 0.835,
|
835 |
+
"step": 585
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.97,
|
839 |
+
"grad_norm": 3.0203617695232663,
|
840 |
+
"learning_rate": 6.331064173119008e-06,
|
841 |
+
"loss": 0.8494,
|
842 |
+
"step": 590
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.99,
|
846 |
+
"grad_norm": 3.1117798744102574,
|
847 |
+
"learning_rate": 6.150698299321889e-06,
|
848 |
+
"loss": 0.8308,
|
849 |
+
"step": 595
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 2.0,
|
853 |
+
"grad_norm": 4.55872308952704,
|
854 |
+
"learning_rate": 5.971790772698467e-06,
|
855 |
+
"loss": 0.8035,
|
856 |
+
"step": 600
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 2.02,
|
860 |
+
"grad_norm": 4.2821019574649535,
|
861 |
+
"learning_rate": 5.794409374188272e-06,
|
862 |
+
"loss": 0.7114,
|
863 |
+
"step": 605
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 2.04,
|
867 |
+
"grad_norm": 3.707456621907476,
|
868 |
+
"learning_rate": 5.61862130654165e-06,
|
869 |
+
"loss": 0.7153,
|
870 |
+
"step": 610
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.05,
|
874 |
+
"grad_norm": 3.2111867758546278,
|
875 |
+
"learning_rate": 5.444493168859304e-06,
|
876 |
+
"loss": 0.7127,
|
877 |
+
"step": 615
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 2.07,
|
881 |
+
"grad_norm": 2.981834951561055,
|
882 |
+
"learning_rate": 5.272090931360564e-06,
|
883 |
+
"loss": 0.7152,
|
884 |
+
"step": 620
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.09,
|
888 |
+
"grad_norm": 3.261244591092665,
|
889 |
+
"learning_rate": 5.101479910389888e-06,
|
890 |
+
"loss": 0.7187,
|
891 |
+
"step": 625
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.1,
|
895 |
+
"grad_norm": 3.572508474876337,
|
896 |
+
"learning_rate": 4.932724743671089e-06,
|
897 |
+
"loss": 0.6839,
|
898 |
+
"step": 630
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 2.12,
|
902 |
+
"grad_norm": 4.094077691261136,
|
903 |
+
"learning_rate": 4.765889365818708e-06,
|
904 |
+
"loss": 0.6999,
|
905 |
+
"step": 635
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.14,
|
909 |
+
"grad_norm": 3.1272831710472118,
|
910 |
+
"learning_rate": 4.601036984115684e-06,
|
911 |
+
"loss": 0.7086,
|
912 |
+
"step": 640
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 2.15,
|
916 |
+
"grad_norm": 2.923329574215811,
|
917 |
+
"learning_rate": 4.438230054566678e-06,
|
918 |
+
"loss": 0.7085,
|
919 |
+
"step": 645
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 2.17,
|
923 |
+
"grad_norm": 3.0901398496943226,
|
924 |
+
"learning_rate": 4.277530258235955e-06,
|
925 |
+
"loss": 0.701,
|
926 |
+
"step": 650
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 2.19,
|
930 |
+
"grad_norm": 3.4929443326902465,
|
931 |
+
"learning_rate": 4.118998477878879e-06,
|
932 |
+
"loss": 0.7049,
|
933 |
+
"step": 655
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 2.2,
|
937 |
+
"grad_norm": 3.6504428413222376,
|
938 |
+
"learning_rate": 3.96269477487588e-06,
|
939 |
+
"loss": 0.7214,
|
940 |
+
"step": 660
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 2.22,
|
944 |
+
"grad_norm": 3.2341076651772975,
|
945 |
+
"learning_rate": 3.8086783664775827e-06,
|
946 |
+
"loss": 0.7085,
|
947 |
+
"step": 665
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 2.24,
|
951 |
+
"grad_norm": 3.092474822298113,
|
952 |
+
"learning_rate": 3.657007603369728e-06,
|
953 |
+
"loss": 0.6767,
|
954 |
+
"step": 670
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.25,
|
958 |
+
"grad_norm": 2.947080196219785,
|
959 |
+
"learning_rate": 3.5077399475664474e-06,
|
960 |
+
"loss": 0.7076,
|
961 |
+
"step": 675
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 2.27,
|
965 |
+
"grad_norm": 3.6087538594951662,
|
966 |
+
"learning_rate": 3.360931950640185e-06,
|
967 |
+
"loss": 0.6975,
|
968 |
+
"step": 680
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.29,
|
972 |
+
"grad_norm": 2.929061678667629,
|
973 |
+
"learning_rate": 3.2166392322965423e-06,
|
974 |
+
"loss": 0.708,
|
975 |
+
"step": 685
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.3,
|
979 |
+
"grad_norm": 2.8841689757419875,
|
980 |
+
"learning_rate": 3.074916459302211e-06,
|
981 |
+
"loss": 0.6923,
|
982 |
+
"step": 690
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 2.32,
|
986 |
+
"grad_norm": 2.9696900618191338,
|
987 |
+
"learning_rate": 2.935817324773893e-06,
|
988 |
+
"loss": 0.7001,
|
989 |
+
"step": 695
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.34,
|
993 |
+
"grad_norm": 2.6611962094828363,
|
994 |
+
"learning_rate": 2.799394527836129e-06,
|
995 |
+
"loss": 0.7017,
|
996 |
+
"step": 700
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.35,
|
1000 |
+
"grad_norm": 3.454056655854251,
|
1001 |
+
"learning_rate": 2.665699753655684e-06,
|
1002 |
+
"loss": 0.7036,
|
1003 |
+
"step": 705
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 2.37,
|
1007 |
+
"grad_norm": 2.951382811612529,
|
1008 |
+
"learning_rate": 2.5347836538601113e-06,
|
1009 |
+
"loss": 0.7128,
|
1010 |
+
"step": 710
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.39,
|
1014 |
+
"grad_norm": 2.720458967552173,
|
1015 |
+
"learning_rate": 2.406695827347848e-06,
|
1016 |
+
"loss": 0.6813,
|
1017 |
+
"step": 715
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.4,
|
1021 |
+
"grad_norm": 3.2947724618805436,
|
1022 |
+
"learning_rate": 2.281484801497186e-06,
|
1023 |
+
"loss": 0.701,
|
1024 |
+
"step": 720
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 2.42,
|
1028 |
+
"grad_norm": 3.3925114406979,
|
1029 |
+
"learning_rate": 2.1591980137811684e-06,
|
1030 |
+
"loss": 0.7131,
|
1031 |
+
"step": 725
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 2.44,
|
1035 |
+
"grad_norm": 2.762867665401941,
|
1036 |
+
"learning_rate": 2.0398817937954275e-06,
|
1037 |
+
"loss": 0.6984,
|
1038 |
+
"step": 730
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 2.45,
|
1042 |
+
"grad_norm": 2.7010469113237434,
|
1043 |
+
"learning_rate": 1.923581345705736e-06,
|
1044 |
+
"loss": 0.7096,
|
1045 |
+
"step": 735
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 2.47,
|
1049 |
+
"grad_norm": 2.852400843485154,
|
1050 |
+
"learning_rate": 1.8103407311219523e-06,
|
1051 |
+
"loss": 0.7032,
|
1052 |
+
"step": 740
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.49,
|
1056 |
+
"grad_norm": 2.86250818820308,
|
1057 |
+
"learning_rate": 1.7002028524048354e-06,
|
1058 |
+
"loss": 0.7293,
|
1059 |
+
"step": 745
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.5,
|
1063 |
+
"grad_norm": 2.51712023734419,
|
1064 |
+
"learning_rate": 1.5932094364120453e-06,
|
1065 |
+
"loss": 0.7012,
|
1066 |
+
"step": 750
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 2.52,
|
1070 |
+
"grad_norm": 2.7437779027345215,
|
1071 |
+
"learning_rate": 1.489401018689488e-06,
|
1072 |
+
"loss": 0.6839,
|
1073 |
+
"step": 755
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 2.54,
|
1077 |
+
"grad_norm": 2.661627012464701,
|
1078 |
+
"learning_rate": 1.3888169281140284e-06,
|
1079 |
+
"loss": 0.6939,
|
1080 |
+
"step": 760
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.55,
|
1084 |
+
"grad_norm": 2.732001611716385,
|
1085 |
+
"learning_rate": 1.291495271993337e-06,
|
1086 |
+
"loss": 0.688,
|
1087 |
+
"step": 765
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 2.57,
|
1091 |
+
"grad_norm": 2.6615007947383553,
|
1092 |
+
"learning_rate": 1.1974729216285386e-06,
|
1093 |
+
"loss": 0.7018,
|
1094 |
+
"step": 770
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 2.59,
|
1098 |
+
"grad_norm": 2.924733067359529,
|
1099 |
+
"learning_rate": 1.1067854983451575e-06,
|
1100 |
+
"loss": 0.7067,
|
1101 |
+
"step": 775
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.6,
|
1105 |
+
"grad_norm": 2.6258772657245557,
|
1106 |
+
"learning_rate": 1.0194673599976134e-06,
|
1107 |
+
"loss": 0.7105,
|
1108 |
+
"step": 780
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 2.62,
|
1112 |
+
"grad_norm": 2.516616483442641,
|
1113 |
+
"learning_rate": 9.355515879523858e-07,
|
1114 |
+
"loss": 0.7135,
|
1115 |
+
"step": 785
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 2.64,
|
1119 |
+
"grad_norm": 2.7835305971129163,
|
1120 |
+
"learning_rate": 8.550699745548196e-07,
|
1121 |
+
"loss": 0.6885,
|
1122 |
+
"step": 790
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 2.65,
|
1126 |
+
"grad_norm": 2.615176282326374,
|
1127 |
+
"learning_rate": 7.780530110842566e-07,
|
1128 |
+
"loss": 0.6819,
|
1129 |
+
"step": 795
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 2.67,
|
1133 |
+
"grad_norm": 2.654709241244524,
|
1134 |
+
"learning_rate": 7.045298762021125e-07,
|
1135 |
+
"loss": 0.7008,
|
1136 |
+
"step": 800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 2.69,
|
1140 |
+
"grad_norm": 2.7964338501174395,
|
1141 |
+
"learning_rate": 6.345284248972383e-07,
|
1142 |
+
"loss": 0.6944,
|
1143 |
+
"step": 805
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 2.7,
|
1147 |
+
"grad_norm": 2.6124049003030243,
|
1148 |
+
"learning_rate": 5.680751779327742e-07,
|
1149 |
+
"loss": 0.709,
|
1150 |
+
"step": 810
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 2.72,
|
1154 |
+
"grad_norm": 2.798593198334347,
|
1155 |
+
"learning_rate": 5.05195311798491e-07,
|
1156 |
+
"loss": 0.7001,
|
1157 |
+
"step": 815
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 2.74,
|
1161 |
+
"grad_norm": 2.6899441693791037,
|
1162 |
+
"learning_rate": 4.4591264917242195e-07,
|
1163 |
+
"loss": 0.6996,
|
1164 |
+
"step": 820
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 2.75,
|
1168 |
+
"grad_norm": 2.4467811439684475,
|
1169 |
+
"learning_rate": 3.9024964989539227e-07,
|
1170 |
+
"loss": 0.7111,
|
1171 |
+
"step": 825
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 2.77,
|
1175 |
+
"grad_norm": 2.642511218648128,
|
1176 |
+
"learning_rate": 3.3822740246188477e-07,
|
1177 |
+
"loss": 0.7003,
|
1178 |
+
"step": 830
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 2.79,
|
1182 |
+
"grad_norm": 2.5965636823764444,
|
1183 |
+
"learning_rate": 2.8986561603044694e-07,
|
1184 |
+
"loss": 0.6972,
|
1185 |
+
"step": 835
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 2.8,
|
1189 |
+
"grad_norm": 2.531198285866803,
|
1190 |
+
"learning_rate": 2.4518261295667255e-07,
|
1191 |
+
"loss": 0.7094,
|
1192 |
+
"step": 840
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 2.82,
|
1196 |
+
"grad_norm": 2.4502750845690455,
|
1197 |
+
"learning_rate": 2.0419532185159796e-07,
|
1198 |
+
"loss": 0.6844,
|
1199 |
+
"step": 845
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 2.84,
|
1203 |
+
"grad_norm": 2.6177312094207346,
|
1204 |
+
"learning_rate": 1.6691927116812002e-07,
|
1205 |
+
"loss": 0.6924,
|
1206 |
+
"step": 850
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 2.85,
|
1210 |
+
"grad_norm": 2.7461025264636763,
|
1211 |
+
"learning_rate": 1.3336858331787993e-07,
|
1212 |
+
"loss": 0.6944,
|
1213 |
+
"step": 855
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 2.87,
|
1217 |
+
"grad_norm": 2.5081604238233237,
|
1218 |
+
"learning_rate": 1.0355596932085432e-07,
|
1219 |
+
"loss": 0.7123,
|
1220 |
+
"step": 860
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 2.89,
|
1224 |
+
"grad_norm": 2.4841520023484462,
|
1225 |
+
"learning_rate": 7.749272398964613e-08,
|
1226 |
+
"loss": 0.6777,
|
1227 |
+
"step": 865
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 2.9,
|
1231 |
+
"grad_norm": 2.5778856215526447,
|
1232 |
+
"learning_rate": 5.518872165033329e-08,
|
1233 |
+
"loss": 0.695,
|
1234 |
+
"step": 870
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 2.92,
|
1238 |
+
"grad_norm": 2.572814592379813,
|
1239 |
+
"learning_rate": 3.6652412401478875e-08,
|
1240 |
+
"loss": 0.6948,
|
1241 |
+
"step": 875
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 2.94,
|
1245 |
+
"grad_norm": 2.4573450802780363,
|
1246 |
+
"learning_rate": 2.1890818912728706e-08,
|
1247 |
+
"loss": 0.6865,
|
1248 |
+
"step": 880
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 2.95,
|
1252 |
+
"grad_norm": 2.5566553348831174,
|
1253 |
+
"learning_rate": 1.0909533764194013e-08,
|
1254 |
+
"loss": 0.6825,
|
1255 |
+
"step": 885
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 2.97,
|
1259 |
+
"grad_norm": 2.429805674481568,
|
1260 |
+
"learning_rate": 3.7127173276563234e-09,
|
1261 |
+
"loss": 0.7116,
|
1262 |
+
"step": 890
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 2.99,
|
1266 |
+
"grad_norm": 2.6137017455070115,
|
1267 |
+
"learning_rate": 3.0309619035495675e-10,
|
1268 |
+
"loss": 0.7018,
|
1269 |
+
"step": 895
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 2.99,
|
1273 |
+
"step": 897,
|
1274 |
+
"total_flos": 246978202042368.0,
|
1275 |
+
"train_loss": 1.0102584746104553,
|
1276 |
+
"train_runtime": 5029.5541,
|
1277 |
+
"train_samples_per_second": 22.861,
|
1278 |
+
"train_steps_per_second": 0.178
|
1279 |
+
}
|
1280 |
+
],
|
1281 |
+
"logging_steps": 5,
|
1282 |
+
"max_steps": 897,
|
1283 |
+
"num_input_tokens_seen": 0,
|
1284 |
+
"num_train_epochs": 3,
|
1285 |
+
"save_steps": 500,
|
1286 |
+
"total_flos": 246978202042368.0,
|
1287 |
+
"train_batch_size": 4,
|
1288 |
+
"trial_name": null,
|
1289 |
+
"trial_params": null
|
1290 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20455c14bb18364ee0b09ffd051e0d137b2dc2b681ae5c0ede649f7aa5dfa708
|
3 |
+
size 6072
|