Model save
Browse files- README.md +69 -0
- all_results.json +21 -0
- config.json +26 -0
- eval_results.json +16 -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
- runs/Feb04_21-33-01_node01/events.out.tfevents.1707053972.node01.3887684.0 +3 -0
- runs/Feb04_21-33-01_node01/events.out.tfevents.1707062266.node01.3887684.1 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +8 -0
- trainer_state.json +730 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: alignment-handbook/zephyr-7b-sft-full
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- dpo
|
7 |
+
- generated_from_trainer
|
8 |
+
model-index:
|
9 |
+
- name: zephyr-7b-UFB-pure-0
|
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 |
+
# zephyr-7b-UFB-pure-0
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.1274
|
21 |
+
- Rewards/chosen: -1.1807
|
22 |
+
- Rewards/rejected: -7.4348
|
23 |
+
- Rewards/accuracies: 0.9766
|
24 |
+
- Rewards/margins: 6.2541
|
25 |
+
- Logps/rejected: -157.1712
|
26 |
+
- Logps/chosen: -151.2540
|
27 |
+
- Logits/rejected: -2.1388
|
28 |
+
- Logits/chosen: -2.3071
|
29 |
+
|
30 |
+
## Model description
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Intended uses & limitations
|
35 |
+
|
36 |
+
More information needed
|
37 |
+
|
38 |
+
## Training and evaluation data
|
39 |
+
|
40 |
+
More information needed
|
41 |
+
|
42 |
+
## Training procedure
|
43 |
+
|
44 |
+
### Training hyperparameters
|
45 |
+
|
46 |
+
The following hyperparameters were used during training:
|
47 |
+
- learning_rate: 5e-07
|
48 |
+
- train_batch_size: 8
|
49 |
+
- eval_batch_size: 8
|
50 |
+
- seed: 42
|
51 |
+
- distributed_type: multi-GPU
|
52 |
+
- num_devices: 4
|
53 |
+
- total_train_batch_size: 32
|
54 |
+
- total_eval_batch_size: 32
|
55 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
56 |
+
- lr_scheduler_type: linear
|
57 |
+
- lr_scheduler_warmup_ratio: 0.1
|
58 |
+
- num_epochs: 1
|
59 |
+
|
60 |
+
### Training results
|
61 |
+
|
62 |
+
|
63 |
+
|
64 |
+
### Framework versions
|
65 |
+
|
66 |
+
- Transformers 4.36.1
|
67 |
+
- Pytorch 2.0.1+cu117
|
68 |
+
- Datasets 2.16.1
|
69 |
+
- Tokenizers 0.15.0
|
all_results.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_logits/chosen": -2.3070545196533203,
|
4 |
+
"eval_logits/rejected": -2.138820171356201,
|
5 |
+
"eval_logps/chosen": -151.25401306152344,
|
6 |
+
"eval_logps/rejected": -157.17115783691406,
|
7 |
+
"eval_loss": 0.12742868065834045,
|
8 |
+
"eval_rewards/accuracies": 0.9765625,
|
9 |
+
"eval_rewards/chosen": -1.1806919574737549,
|
10 |
+
"eval_rewards/margins": 6.254101276397705,
|
11 |
+
"eval_rewards/rejected": -7.434792995452881,
|
12 |
+
"eval_runtime": 160.2204,
|
13 |
+
"eval_samples": 512,
|
14 |
+
"eval_samples_per_second": 3.196,
|
15 |
+
"eval_steps_per_second": 0.1,
|
16 |
+
"train_loss": 0.20032393871645335,
|
17 |
+
"train_runtime": 8133.5998,
|
18 |
+
"train_samples": 15685,
|
19 |
+
"train_samples_per_second": 1.928,
|
20 |
+
"train_steps_per_second": 0.06
|
21 |
+
}
|
config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "alignment-handbook/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": "4.36.1",
|
24 |
+
"use_cache": false,
|
25 |
+
"vocab_size": 32000
|
26 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_logits/chosen": -2.3070545196533203,
|
4 |
+
"eval_logits/rejected": -2.138820171356201,
|
5 |
+
"eval_logps/chosen": -151.25401306152344,
|
6 |
+
"eval_logps/rejected": -157.17115783691406,
|
7 |
+
"eval_loss": 0.12742868065834045,
|
8 |
+
"eval_rewards/accuracies": 0.9765625,
|
9 |
+
"eval_rewards/chosen": -1.1806919574737549,
|
10 |
+
"eval_rewards/margins": 6.254101276397705,
|
11 |
+
"eval_rewards/rejected": -7.434792995452881,
|
12 |
+
"eval_runtime": 160.2204,
|
13 |
+
"eval_samples": 512,
|
14 |
+
"eval_samples_per_second": 3.196,
|
15 |
+
"eval_steps_per_second": 0.1
|
16 |
+
}
|
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": "4.36.1"
|
6 |
+
}
|
model-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:98ed2a0d14b44ebcd82bc049f63e62a73f2e320275caa00729b7ee72ccff2701
|
3 |
+
size 4943162336
|
model-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:212892c7eea319a4275d5a8bb07aaf90c298081be69e996eac5a258d1c0afda6
|
3 |
+
size 4999819336
|
model-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5d7ab3687ed2f8a98639d95a25ead27d705e87083496d73d7cd44c927f23a976
|
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 |
+
}
|
runs/Feb04_21-33-01_node01/events.out.tfevents.1707053972.node01.3887684.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:03d97638a0c1b2f6c1c3a8178829d617c1e470315be6e84a7758c44d8b770da4
|
3 |
+
size 36364
|
runs/Feb04_21-33-01_node01/events.out.tfevents.1707062266.node01.3887684.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:777c20ccf5b9870298c727a7be0e0d6d7a1c2f1549f3674b8326bbdef059cd05
|
3 |
+
size 828
|
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": 4096,
|
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 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 0.20032393871645335,
|
4 |
+
"train_runtime": 8133.5998,
|
5 |
+
"train_samples": 15685,
|
6 |
+
"train_samples_per_second": 1.928,
|
7 |
+
"train_steps_per_second": 0.06
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,730 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 491,
|
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 |
+
"learning_rate": 1e-08,
|
14 |
+
"logits/chosen": -2.6244959831237793,
|
15 |
+
"logits/rejected": -2.5476584434509277,
|
16 |
+
"logps/chosen": -148.28712463378906,
|
17 |
+
"logps/rejected": -97.07695007324219,
|
18 |
+
"loss": 0.6931,
|
19 |
+
"rewards/accuracies": 0.0,
|
20 |
+
"rewards/chosen": 0.0,
|
21 |
+
"rewards/margins": 0.0,
|
22 |
+
"rewards/rejected": 0.0,
|
23 |
+
"step": 1
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.02,
|
27 |
+
"learning_rate": 1e-07,
|
28 |
+
"logits/chosen": -2.5370163917541504,
|
29 |
+
"logits/rejected": -2.4581496715545654,
|
30 |
+
"logps/chosen": -149.06556701660156,
|
31 |
+
"logps/rejected": -90.43597412109375,
|
32 |
+
"loss": 0.681,
|
33 |
+
"rewards/accuracies": 0.5833333134651184,
|
34 |
+
"rewards/chosen": 0.03589768707752228,
|
35 |
+
"rewards/margins": 0.027119608595967293,
|
36 |
+
"rewards/rejected": 0.008778076618909836,
|
37 |
+
"step": 10
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.04,
|
41 |
+
"learning_rate": 2e-07,
|
42 |
+
"logits/chosen": -2.5408926010131836,
|
43 |
+
"logits/rejected": -2.4895992279052734,
|
44 |
+
"logps/chosen": -144.8271484375,
|
45 |
+
"logps/rejected": -86.21273040771484,
|
46 |
+
"loss": 0.544,
|
47 |
+
"rewards/accuracies": 0.875,
|
48 |
+
"rewards/chosen": 0.26239949464797974,
|
49 |
+
"rewards/margins": 0.43117108941078186,
|
50 |
+
"rewards/rejected": -0.1687716245651245,
|
51 |
+
"step": 20
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.06,
|
55 |
+
"learning_rate": 3e-07,
|
56 |
+
"logits/chosen": -2.6375694274902344,
|
57 |
+
"logits/rejected": -2.5197739601135254,
|
58 |
+
"logps/chosen": -139.70712280273438,
|
59 |
+
"logps/rejected": -95.44498443603516,
|
60 |
+
"loss": 0.3616,
|
61 |
+
"rewards/accuracies": 0.800000011920929,
|
62 |
+
"rewards/chosen": 0.05464474484324455,
|
63 |
+
"rewards/margins": 1.1275455951690674,
|
64 |
+
"rewards/rejected": -1.0729008913040161,
|
65 |
+
"step": 30
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.08,
|
69 |
+
"learning_rate": 4e-07,
|
70 |
+
"logits/chosen": -2.462580442428589,
|
71 |
+
"logits/rejected": -2.3860220909118652,
|
72 |
+
"logps/chosen": -139.60357666015625,
|
73 |
+
"logps/rejected": -104.787841796875,
|
74 |
+
"loss": 0.2921,
|
75 |
+
"rewards/accuracies": 0.8999999761581421,
|
76 |
+
"rewards/chosen": 0.09050186723470688,
|
77 |
+
"rewards/margins": 1.936102271080017,
|
78 |
+
"rewards/rejected": -1.8456003665924072,
|
79 |
+
"step": 40
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1,
|
83 |
+
"learning_rate": 5e-07,
|
84 |
+
"logits/chosen": -2.497800588607788,
|
85 |
+
"logits/rejected": -2.331794023513794,
|
86 |
+
"logps/chosen": -176.67684936523438,
|
87 |
+
"logps/rejected": -133.3009033203125,
|
88 |
+
"loss": 0.2627,
|
89 |
+
"rewards/accuracies": 0.862500011920929,
|
90 |
+
"rewards/chosen": -0.7371834516525269,
|
91 |
+
"rewards/margins": 2.163860321044922,
|
92 |
+
"rewards/rejected": -2.9010438919067383,
|
93 |
+
"step": 50
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.12,
|
97 |
+
"learning_rate": 4.886621315192743e-07,
|
98 |
+
"logits/chosen": -2.5514307022094727,
|
99 |
+
"logits/rejected": -2.447479486465454,
|
100 |
+
"logps/chosen": -160.9045867919922,
|
101 |
+
"logps/rejected": -135.33114624023438,
|
102 |
+
"loss": 0.2211,
|
103 |
+
"rewards/accuracies": 0.8999999761581421,
|
104 |
+
"rewards/chosen": -0.9471993446350098,
|
105 |
+
"rewards/margins": 2.4198856353759766,
|
106 |
+
"rewards/rejected": -3.3670849800109863,
|
107 |
+
"step": 60
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.14,
|
111 |
+
"learning_rate": 4.773242630385487e-07,
|
112 |
+
"logits/chosen": -2.5035057067871094,
|
113 |
+
"logits/rejected": -2.3295655250549316,
|
114 |
+
"logps/chosen": -162.2573699951172,
|
115 |
+
"logps/rejected": -130.7346954345703,
|
116 |
+
"loss": 0.1829,
|
117 |
+
"rewards/accuracies": 0.9624999761581421,
|
118 |
+
"rewards/chosen": -0.5212399363517761,
|
119 |
+
"rewards/margins": 3.431070327758789,
|
120 |
+
"rewards/rejected": -3.9523098468780518,
|
121 |
+
"step": 70
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.16,
|
125 |
+
"learning_rate": 4.6598639455782313e-07,
|
126 |
+
"logits/chosen": -2.522507905960083,
|
127 |
+
"logits/rejected": -2.3813233375549316,
|
128 |
+
"logps/chosen": -178.6873779296875,
|
129 |
+
"logps/rejected": -141.0321502685547,
|
130 |
+
"loss": 0.1822,
|
131 |
+
"rewards/accuracies": 0.925000011920929,
|
132 |
+
"rewards/chosen": -0.6599360704421997,
|
133 |
+
"rewards/margins": 3.214824676513672,
|
134 |
+
"rewards/rejected": -3.8747611045837402,
|
135 |
+
"step": 80
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.18,
|
139 |
+
"learning_rate": 4.546485260770975e-07,
|
140 |
+
"logits/chosen": -2.5989696979522705,
|
141 |
+
"logits/rejected": -2.4465830326080322,
|
142 |
+
"logps/chosen": -167.22085571289062,
|
143 |
+
"logps/rejected": -131.60641479492188,
|
144 |
+
"loss": 0.1684,
|
145 |
+
"rewards/accuracies": 0.949999988079071,
|
146 |
+
"rewards/chosen": -0.6895953416824341,
|
147 |
+
"rewards/margins": 3.479625701904297,
|
148 |
+
"rewards/rejected": -4.169220924377441,
|
149 |
+
"step": 90
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.2,
|
153 |
+
"learning_rate": 4.433106575963719e-07,
|
154 |
+
"logits/chosen": -2.3363890647888184,
|
155 |
+
"logits/rejected": -2.208930730819702,
|
156 |
+
"logps/chosen": -226.7657470703125,
|
157 |
+
"logps/rejected": -155.46226501464844,
|
158 |
+
"loss": 1.378,
|
159 |
+
"rewards/accuracies": 0.887499988079071,
|
160 |
+
"rewards/chosen": -6.209970951080322,
|
161 |
+
"rewards/margins": -1.1396101713180542,
|
162 |
+
"rewards/rejected": -5.070359230041504,
|
163 |
+
"step": 100
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.22,
|
167 |
+
"learning_rate": 4.3197278911564623e-07,
|
168 |
+
"logits/chosen": -2.2915709018707275,
|
169 |
+
"logits/rejected": -2.2031328678131104,
|
170 |
+
"logps/chosen": -154.38711547851562,
|
171 |
+
"logps/rejected": -138.17401123046875,
|
172 |
+
"loss": 0.1965,
|
173 |
+
"rewards/accuracies": 0.9125000238418579,
|
174 |
+
"rewards/chosen": -1.3441089391708374,
|
175 |
+
"rewards/margins": 3.5139331817626953,
|
176 |
+
"rewards/rejected": -4.858041286468506,
|
177 |
+
"step": 110
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.24,
|
181 |
+
"learning_rate": 4.2063492063492063e-07,
|
182 |
+
"logits/chosen": -2.2738468647003174,
|
183 |
+
"logits/rejected": -2.1098406314849854,
|
184 |
+
"logps/chosen": -156.9755401611328,
|
185 |
+
"logps/rejected": -132.60494995117188,
|
186 |
+
"loss": 0.176,
|
187 |
+
"rewards/accuracies": 0.8999999761581421,
|
188 |
+
"rewards/chosen": -1.06258225440979,
|
189 |
+
"rewards/margins": 3.5116379261016846,
|
190 |
+
"rewards/rejected": -4.574219703674316,
|
191 |
+
"step": 120
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.26,
|
195 |
+
"learning_rate": 4.09297052154195e-07,
|
196 |
+
"logits/chosen": -2.212961196899414,
|
197 |
+
"logits/rejected": -2.104160785675049,
|
198 |
+
"logps/chosen": -155.2751007080078,
|
199 |
+
"logps/rejected": -145.32325744628906,
|
200 |
+
"loss": 0.1783,
|
201 |
+
"rewards/accuracies": 0.8999999761581421,
|
202 |
+
"rewards/chosen": -1.956811547279358,
|
203 |
+
"rewards/margins": 3.8180172443389893,
|
204 |
+
"rewards/rejected": -5.774828910827637,
|
205 |
+
"step": 130
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.29,
|
209 |
+
"learning_rate": 3.979591836734694e-07,
|
210 |
+
"logits/chosen": -2.24934983253479,
|
211 |
+
"logits/rejected": -2.0988452434539795,
|
212 |
+
"logps/chosen": -164.42202758789062,
|
213 |
+
"logps/rejected": -147.06228637695312,
|
214 |
+
"loss": 0.182,
|
215 |
+
"rewards/accuracies": 0.9375,
|
216 |
+
"rewards/chosen": -1.2399647235870361,
|
217 |
+
"rewards/margins": 4.234730243682861,
|
218 |
+
"rewards/rejected": -5.474694728851318,
|
219 |
+
"step": 140
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.31,
|
223 |
+
"learning_rate": 3.866213151927438e-07,
|
224 |
+
"logits/chosen": -2.159578800201416,
|
225 |
+
"logits/rejected": -2.0544795989990234,
|
226 |
+
"logps/chosen": -145.58526611328125,
|
227 |
+
"logps/rejected": -140.1253662109375,
|
228 |
+
"loss": 0.1431,
|
229 |
+
"rewards/accuracies": 0.9375,
|
230 |
+
"rewards/chosen": -1.122462511062622,
|
231 |
+
"rewards/margins": 4.34097146987915,
|
232 |
+
"rewards/rejected": -5.463434219360352,
|
233 |
+
"step": 150
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.33,
|
237 |
+
"learning_rate": 3.7528344671201813e-07,
|
238 |
+
"logits/chosen": -2.339341640472412,
|
239 |
+
"logits/rejected": -2.1767287254333496,
|
240 |
+
"logps/chosen": -162.39453125,
|
241 |
+
"logps/rejected": -140.1338348388672,
|
242 |
+
"loss": 0.219,
|
243 |
+
"rewards/accuracies": 0.8999999761581421,
|
244 |
+
"rewards/chosen": -1.2674634456634521,
|
245 |
+
"rewards/margins": 4.108874320983887,
|
246 |
+
"rewards/rejected": -5.376338005065918,
|
247 |
+
"step": 160
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.35,
|
251 |
+
"learning_rate": 3.6394557823129254e-07,
|
252 |
+
"logits/chosen": -2.256037712097168,
|
253 |
+
"logits/rejected": -2.0874805450439453,
|
254 |
+
"logps/chosen": -171.171142578125,
|
255 |
+
"logps/rejected": -147.9696044921875,
|
256 |
+
"loss": 0.1341,
|
257 |
+
"rewards/accuracies": 0.9375,
|
258 |
+
"rewards/chosen": -1.6500320434570312,
|
259 |
+
"rewards/margins": 4.346782684326172,
|
260 |
+
"rewards/rejected": -5.996814250946045,
|
261 |
+
"step": 170
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.37,
|
265 |
+
"learning_rate": 3.526077097505669e-07,
|
266 |
+
"logits/chosen": -2.244986057281494,
|
267 |
+
"logits/rejected": -2.1053173542022705,
|
268 |
+
"logps/chosen": -162.7403564453125,
|
269 |
+
"logps/rejected": -139.0584259033203,
|
270 |
+
"loss": 0.1669,
|
271 |
+
"rewards/accuracies": 0.925000011920929,
|
272 |
+
"rewards/chosen": -1.3248670101165771,
|
273 |
+
"rewards/margins": 4.133967399597168,
|
274 |
+
"rewards/rejected": -5.458834171295166,
|
275 |
+
"step": 180
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.39,
|
279 |
+
"learning_rate": 3.412698412698413e-07,
|
280 |
+
"logits/chosen": -2.294400453567505,
|
281 |
+
"logits/rejected": -2.063782215118408,
|
282 |
+
"logps/chosen": -177.40701293945312,
|
283 |
+
"logps/rejected": -188.0184326171875,
|
284 |
+
"loss": 0.1111,
|
285 |
+
"rewards/accuracies": 1.0,
|
286 |
+
"rewards/chosen": -1.5336018800735474,
|
287 |
+
"rewards/margins": 7.072530269622803,
|
288 |
+
"rewards/rejected": -8.606132507324219,
|
289 |
+
"step": 190
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.41,
|
293 |
+
"learning_rate": 3.299319727891156e-07,
|
294 |
+
"logits/chosen": -2.2452657222747803,
|
295 |
+
"logits/rejected": -2.1023104190826416,
|
296 |
+
"logps/chosen": -164.32254028320312,
|
297 |
+
"logps/rejected": -154.12310791015625,
|
298 |
+
"loss": 0.1856,
|
299 |
+
"rewards/accuracies": 0.949999988079071,
|
300 |
+
"rewards/chosen": -2.1261470317840576,
|
301 |
+
"rewards/margins": 4.135893821716309,
|
302 |
+
"rewards/rejected": -6.2620415687561035,
|
303 |
+
"step": 200
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.43,
|
307 |
+
"learning_rate": 3.1859410430839e-07,
|
308 |
+
"logits/chosen": -2.3352227210998535,
|
309 |
+
"logits/rejected": -2.1405560970306396,
|
310 |
+
"logps/chosen": -154.53152465820312,
|
311 |
+
"logps/rejected": -134.69961547851562,
|
312 |
+
"loss": 0.1332,
|
313 |
+
"rewards/accuracies": 0.9375,
|
314 |
+
"rewards/chosen": -0.9065567255020142,
|
315 |
+
"rewards/margins": 4.494719505310059,
|
316 |
+
"rewards/rejected": -5.401275634765625,
|
317 |
+
"step": 210
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.45,
|
321 |
+
"learning_rate": 3.072562358276644e-07,
|
322 |
+
"logits/chosen": -2.3480963706970215,
|
323 |
+
"logits/rejected": -2.1483328342437744,
|
324 |
+
"logps/chosen": -159.91603088378906,
|
325 |
+
"logps/rejected": -152.38380432128906,
|
326 |
+
"loss": 0.1641,
|
327 |
+
"rewards/accuracies": 0.949999988079071,
|
328 |
+
"rewards/chosen": -2.00056791305542,
|
329 |
+
"rewards/margins": 4.964018821716309,
|
330 |
+
"rewards/rejected": -6.9645867347717285,
|
331 |
+
"step": 220
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.47,
|
335 |
+
"learning_rate": 2.9591836734693874e-07,
|
336 |
+
"logits/chosen": -2.320943832397461,
|
337 |
+
"logits/rejected": -2.178292751312256,
|
338 |
+
"logps/chosen": -164.52239990234375,
|
339 |
+
"logps/rejected": -156.4569854736328,
|
340 |
+
"loss": 0.1432,
|
341 |
+
"rewards/accuracies": 0.9375,
|
342 |
+
"rewards/chosen": -1.483763337135315,
|
343 |
+
"rewards/margins": 4.69757080078125,
|
344 |
+
"rewards/rejected": -6.181333541870117,
|
345 |
+
"step": 230
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.49,
|
349 |
+
"learning_rate": 2.8458049886621314e-07,
|
350 |
+
"logits/chosen": -2.2857508659362793,
|
351 |
+
"logits/rejected": -2.122419834136963,
|
352 |
+
"logps/chosen": -148.7211456298828,
|
353 |
+
"logps/rejected": -134.5128631591797,
|
354 |
+
"loss": 0.1565,
|
355 |
+
"rewards/accuracies": 0.9750000238418579,
|
356 |
+
"rewards/chosen": -1.2494453191757202,
|
357 |
+
"rewards/margins": 4.770277500152588,
|
358 |
+
"rewards/rejected": -6.0197224617004395,
|
359 |
+
"step": 240
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.51,
|
363 |
+
"learning_rate": 2.732426303854875e-07,
|
364 |
+
"logits/chosen": -2.3791332244873047,
|
365 |
+
"logits/rejected": -2.23042893409729,
|
366 |
+
"logps/chosen": -174.9046173095703,
|
367 |
+
"logps/rejected": -174.52374267578125,
|
368 |
+
"loss": 0.1483,
|
369 |
+
"rewards/accuracies": 0.949999988079071,
|
370 |
+
"rewards/chosen": -1.7448902130126953,
|
371 |
+
"rewards/margins": 4.780519008636475,
|
372 |
+
"rewards/rejected": -6.525409698486328,
|
373 |
+
"step": 250
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.53,
|
377 |
+
"learning_rate": 2.619047619047619e-07,
|
378 |
+
"logits/chosen": -2.3673877716064453,
|
379 |
+
"logits/rejected": -2.20123291015625,
|
380 |
+
"logps/chosen": -151.64413452148438,
|
381 |
+
"logps/rejected": -145.02633666992188,
|
382 |
+
"loss": 0.15,
|
383 |
+
"rewards/accuracies": 0.875,
|
384 |
+
"rewards/chosen": -2.0061161518096924,
|
385 |
+
"rewards/margins": 4.6594319343566895,
|
386 |
+
"rewards/rejected": -6.665547847747803,
|
387 |
+
"step": 260
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.55,
|
391 |
+
"learning_rate": 2.5056689342403624e-07,
|
392 |
+
"logits/chosen": -2.236260414123535,
|
393 |
+
"logits/rejected": -2.155104398727417,
|
394 |
+
"logps/chosen": -166.03179931640625,
|
395 |
+
"logps/rejected": -147.90829467773438,
|
396 |
+
"loss": 0.1281,
|
397 |
+
"rewards/accuracies": 0.9750000238418579,
|
398 |
+
"rewards/chosen": -1.2687690258026123,
|
399 |
+
"rewards/margins": 4.856295585632324,
|
400 |
+
"rewards/rejected": -6.125064373016357,
|
401 |
+
"step": 270
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.57,
|
405 |
+
"learning_rate": 2.3922902494331064e-07,
|
406 |
+
"logits/chosen": -2.307720184326172,
|
407 |
+
"logits/rejected": -2.1552658081054688,
|
408 |
+
"logps/chosen": -177.2270965576172,
|
409 |
+
"logps/rejected": -161.21737670898438,
|
410 |
+
"loss": 0.1423,
|
411 |
+
"rewards/accuracies": 0.9624999761581421,
|
412 |
+
"rewards/chosen": -1.5429637432098389,
|
413 |
+
"rewards/margins": 4.64047384262085,
|
414 |
+
"rewards/rejected": -6.183438301086426,
|
415 |
+
"step": 280
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.59,
|
419 |
+
"learning_rate": 2.2789115646258502e-07,
|
420 |
+
"logits/chosen": -2.2872962951660156,
|
421 |
+
"logits/rejected": -2.111124277114868,
|
422 |
+
"logps/chosen": -151.91629028320312,
|
423 |
+
"logps/rejected": -139.26318359375,
|
424 |
+
"loss": 0.1764,
|
425 |
+
"rewards/accuracies": 0.875,
|
426 |
+
"rewards/chosen": -1.7618621587753296,
|
427 |
+
"rewards/margins": 4.707967758178711,
|
428 |
+
"rewards/rejected": -6.469829559326172,
|
429 |
+
"step": 290
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.61,
|
433 |
+
"learning_rate": 2.165532879818594e-07,
|
434 |
+
"logits/chosen": -2.2950973510742188,
|
435 |
+
"logits/rejected": -2.1110997200012207,
|
436 |
+
"logps/chosen": -151.4035186767578,
|
437 |
+
"logps/rejected": -144.46658325195312,
|
438 |
+
"loss": 0.1984,
|
439 |
+
"rewards/accuracies": 0.9125000238418579,
|
440 |
+
"rewards/chosen": -1.0890811681747437,
|
441 |
+
"rewards/margins": 4.241808891296387,
|
442 |
+
"rewards/rejected": -5.330889701843262,
|
443 |
+
"step": 300
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.63,
|
447 |
+
"learning_rate": 2.0521541950113377e-07,
|
448 |
+
"logits/chosen": -2.371819019317627,
|
449 |
+
"logits/rejected": -2.220020294189453,
|
450 |
+
"logps/chosen": -132.87916564941406,
|
451 |
+
"logps/rejected": -135.39962768554688,
|
452 |
+
"loss": 0.1227,
|
453 |
+
"rewards/accuracies": 0.925000011920929,
|
454 |
+
"rewards/chosen": -1.924085259437561,
|
455 |
+
"rewards/margins": 5.181375980377197,
|
456 |
+
"rewards/rejected": -7.105461120605469,
|
457 |
+
"step": 310
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.65,
|
461 |
+
"learning_rate": 1.9387755102040814e-07,
|
462 |
+
"logits/chosen": -2.405116081237793,
|
463 |
+
"logits/rejected": -2.2629637718200684,
|
464 |
+
"logps/chosen": -160.4700164794922,
|
465 |
+
"logps/rejected": -150.7443084716797,
|
466 |
+
"loss": 0.137,
|
467 |
+
"rewards/accuracies": 0.8999999761581421,
|
468 |
+
"rewards/chosen": -2.134606122970581,
|
469 |
+
"rewards/margins": 4.591971397399902,
|
470 |
+
"rewards/rejected": -6.7265777587890625,
|
471 |
+
"step": 320
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.67,
|
475 |
+
"learning_rate": 1.8253968253968252e-07,
|
476 |
+
"logits/chosen": -2.368983745574951,
|
477 |
+
"logits/rejected": -2.2834761142730713,
|
478 |
+
"logps/chosen": -160.4642791748047,
|
479 |
+
"logps/rejected": -160.0625762939453,
|
480 |
+
"loss": 0.1244,
|
481 |
+
"rewards/accuracies": 0.9125000238418579,
|
482 |
+
"rewards/chosen": -1.8051602840423584,
|
483 |
+
"rewards/margins": 4.877270698547363,
|
484 |
+
"rewards/rejected": -6.682431221008301,
|
485 |
+
"step": 330
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.69,
|
489 |
+
"learning_rate": 1.712018140589569e-07,
|
490 |
+
"logits/chosen": -2.3076577186584473,
|
491 |
+
"logits/rejected": -2.1015944480895996,
|
492 |
+
"logps/chosen": -174.94973754882812,
|
493 |
+
"logps/rejected": -178.3339080810547,
|
494 |
+
"loss": 0.1237,
|
495 |
+
"rewards/accuracies": 0.887499988079071,
|
496 |
+
"rewards/chosen": -2.0153822898864746,
|
497 |
+
"rewards/margins": 6.191023349761963,
|
498 |
+
"rewards/rejected": -8.206406593322754,
|
499 |
+
"step": 340
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.71,
|
503 |
+
"learning_rate": 1.598639455782313e-07,
|
504 |
+
"logits/chosen": -2.5221567153930664,
|
505 |
+
"logits/rejected": -2.3901963233947754,
|
506 |
+
"logps/chosen": -159.98475646972656,
|
507 |
+
"logps/rejected": -157.09149169921875,
|
508 |
+
"loss": 0.0978,
|
509 |
+
"rewards/accuracies": 0.9750000238418579,
|
510 |
+
"rewards/chosen": -1.7989521026611328,
|
511 |
+
"rewards/margins": 4.653882026672363,
|
512 |
+
"rewards/rejected": -6.452833652496338,
|
513 |
+
"step": 350
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.73,
|
517 |
+
"learning_rate": 1.4852607709750567e-07,
|
518 |
+
"logits/chosen": -2.4620490074157715,
|
519 |
+
"logits/rejected": -2.253587245941162,
|
520 |
+
"logps/chosen": -153.6101531982422,
|
521 |
+
"logps/rejected": -151.8799285888672,
|
522 |
+
"loss": 0.143,
|
523 |
+
"rewards/accuracies": 0.925000011920929,
|
524 |
+
"rewards/chosen": -1.7074544429779053,
|
525 |
+
"rewards/margins": 5.599391460418701,
|
526 |
+
"rewards/rejected": -7.306845664978027,
|
527 |
+
"step": 360
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.75,
|
531 |
+
"learning_rate": 1.3718820861678005e-07,
|
532 |
+
"logits/chosen": -2.3479745388031006,
|
533 |
+
"logits/rejected": -2.232555627822876,
|
534 |
+
"logps/chosen": -166.34698486328125,
|
535 |
+
"logps/rejected": -162.51980590820312,
|
536 |
+
"loss": 0.1679,
|
537 |
+
"rewards/accuracies": 0.9125000238418579,
|
538 |
+
"rewards/chosen": -1.8680267333984375,
|
539 |
+
"rewards/margins": 4.728573799133301,
|
540 |
+
"rewards/rejected": -6.596600532531738,
|
541 |
+
"step": 370
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.77,
|
545 |
+
"learning_rate": 1.2585034013605442e-07,
|
546 |
+
"logits/chosen": -2.452205181121826,
|
547 |
+
"logits/rejected": -2.236445903778076,
|
548 |
+
"logps/chosen": -160.61105346679688,
|
549 |
+
"logps/rejected": -151.0522918701172,
|
550 |
+
"loss": 0.1506,
|
551 |
+
"rewards/accuracies": 0.9125000238418579,
|
552 |
+
"rewards/chosen": -1.6947262287139893,
|
553 |
+
"rewards/margins": 4.786589622497559,
|
554 |
+
"rewards/rejected": -6.481315612792969,
|
555 |
+
"step": 380
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.79,
|
559 |
+
"learning_rate": 1.1451247165532879e-07,
|
560 |
+
"logits/chosen": -2.442394971847534,
|
561 |
+
"logits/rejected": -2.2332167625427246,
|
562 |
+
"logps/chosen": -170.10598754882812,
|
563 |
+
"logps/rejected": -160.43565368652344,
|
564 |
+
"loss": 0.101,
|
565 |
+
"rewards/accuracies": 0.9375,
|
566 |
+
"rewards/chosen": -1.8190062046051025,
|
567 |
+
"rewards/margins": 5.077141761779785,
|
568 |
+
"rewards/rejected": -6.896147727966309,
|
569 |
+
"step": 390
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.81,
|
573 |
+
"learning_rate": 1.0317460317460316e-07,
|
574 |
+
"logits/chosen": -2.4227921962738037,
|
575 |
+
"logits/rejected": -2.2378575801849365,
|
576 |
+
"logps/chosen": -182.52713012695312,
|
577 |
+
"logps/rejected": -169.83901977539062,
|
578 |
+
"loss": 0.086,
|
579 |
+
"rewards/accuracies": 0.9624999761581421,
|
580 |
+
"rewards/chosen": -1.6897770166397095,
|
581 |
+
"rewards/margins": 5.666071891784668,
|
582 |
+
"rewards/rejected": -7.3558478355407715,
|
583 |
+
"step": 400
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.84,
|
587 |
+
"learning_rate": 9.183673469387755e-08,
|
588 |
+
"logits/chosen": -2.3523762226104736,
|
589 |
+
"logits/rejected": -2.1948838233947754,
|
590 |
+
"logps/chosen": -169.2480926513672,
|
591 |
+
"logps/rejected": -179.06275939941406,
|
592 |
+
"loss": 0.1139,
|
593 |
+
"rewards/accuracies": 0.9624999761581421,
|
594 |
+
"rewards/chosen": -1.6853822469711304,
|
595 |
+
"rewards/margins": 7.397521018981934,
|
596 |
+
"rewards/rejected": -9.082902908325195,
|
597 |
+
"step": 410
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.86,
|
601 |
+
"learning_rate": 8.049886621315193e-08,
|
602 |
+
"logits/chosen": -2.3608529567718506,
|
603 |
+
"logits/rejected": -2.246788501739502,
|
604 |
+
"logps/chosen": -165.41151428222656,
|
605 |
+
"logps/rejected": -169.1031494140625,
|
606 |
+
"loss": 0.1225,
|
607 |
+
"rewards/accuracies": 0.9125000238418579,
|
608 |
+
"rewards/chosen": -1.6766393184661865,
|
609 |
+
"rewards/margins": 5.58035945892334,
|
610 |
+
"rewards/rejected": -7.2569990158081055,
|
611 |
+
"step": 420
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.88,
|
615 |
+
"learning_rate": 6.91609977324263e-08,
|
616 |
+
"logits/chosen": -2.404496908187866,
|
617 |
+
"logits/rejected": -2.184279441833496,
|
618 |
+
"logps/chosen": -183.42774963378906,
|
619 |
+
"logps/rejected": -190.3188934326172,
|
620 |
+
"loss": 0.1032,
|
621 |
+
"rewards/accuracies": 0.9375,
|
622 |
+
"rewards/chosen": -1.3860682249069214,
|
623 |
+
"rewards/margins": 7.569392204284668,
|
624 |
+
"rewards/rejected": -8.955459594726562,
|
625 |
+
"step": 430
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.9,
|
629 |
+
"learning_rate": 5.782312925170068e-08,
|
630 |
+
"logits/chosen": -2.285003662109375,
|
631 |
+
"logits/rejected": -2.115624189376831,
|
632 |
+
"logps/chosen": -130.6668243408203,
|
633 |
+
"logps/rejected": -122.2939453125,
|
634 |
+
"loss": 0.1088,
|
635 |
+
"rewards/accuracies": 0.9125000238418579,
|
636 |
+
"rewards/chosen": -1.462835669517517,
|
637 |
+
"rewards/margins": 4.940153121948242,
|
638 |
+
"rewards/rejected": -6.402989387512207,
|
639 |
+
"step": 440
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.92,
|
643 |
+
"learning_rate": 4.648526077097505e-08,
|
644 |
+
"logits/chosen": -2.3510639667510986,
|
645 |
+
"logits/rejected": -2.217038631439209,
|
646 |
+
"logps/chosen": -164.84243774414062,
|
647 |
+
"logps/rejected": -159.15789794921875,
|
648 |
+
"loss": 0.0928,
|
649 |
+
"rewards/accuracies": 0.887499988079071,
|
650 |
+
"rewards/chosen": -1.6966283321380615,
|
651 |
+
"rewards/margins": 5.2207136154174805,
|
652 |
+
"rewards/rejected": -6.917341709136963,
|
653 |
+
"step": 450
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.94,
|
657 |
+
"learning_rate": 3.5147392290249434e-08,
|
658 |
+
"logits/chosen": -2.392794132232666,
|
659 |
+
"logits/rejected": -2.2205255031585693,
|
660 |
+
"logps/chosen": -174.13099670410156,
|
661 |
+
"logps/rejected": -163.31275939941406,
|
662 |
+
"loss": 0.1361,
|
663 |
+
"rewards/accuracies": 0.9750000238418579,
|
664 |
+
"rewards/chosen": -1.1660579442977905,
|
665 |
+
"rewards/margins": 5.76992130279541,
|
666 |
+
"rewards/rejected": -6.93597936630249,
|
667 |
+
"step": 460
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.96,
|
671 |
+
"learning_rate": 2.3809523809523807e-08,
|
672 |
+
"logits/chosen": -2.3290793895721436,
|
673 |
+
"logits/rejected": -2.172487735748291,
|
674 |
+
"logps/chosen": -172.22470092773438,
|
675 |
+
"logps/rejected": -166.8828125,
|
676 |
+
"loss": 0.1397,
|
677 |
+
"rewards/accuracies": 0.925000011920929,
|
678 |
+
"rewards/chosen": -2.161699056625366,
|
679 |
+
"rewards/margins": 5.623523712158203,
|
680 |
+
"rewards/rejected": -7.78522253036499,
|
681 |
+
"step": 470
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.98,
|
685 |
+
"learning_rate": 1.2471655328798186e-08,
|
686 |
+
"logits/chosen": -2.4058690071105957,
|
687 |
+
"logits/rejected": -2.255786418914795,
|
688 |
+
"logps/chosen": -177.1675262451172,
|
689 |
+
"logps/rejected": -168.27767944335938,
|
690 |
+
"loss": 0.1171,
|
691 |
+
"rewards/accuracies": 0.925000011920929,
|
692 |
+
"rewards/chosen": -1.5147063732147217,
|
693 |
+
"rewards/margins": 5.647317886352539,
|
694 |
+
"rewards/rejected": -7.16202449798584,
|
695 |
+
"step": 480
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.0,
|
699 |
+
"learning_rate": 1.1337868480725624e-09,
|
700 |
+
"logits/chosen": -2.3738300800323486,
|
701 |
+
"logits/rejected": -2.2069907188415527,
|
702 |
+
"logps/chosen": -154.16586303710938,
|
703 |
+
"logps/rejected": -149.5966033935547,
|
704 |
+
"loss": 0.1296,
|
705 |
+
"rewards/accuracies": 0.9750000238418579,
|
706 |
+
"rewards/chosen": -1.6616309881210327,
|
707 |
+
"rewards/margins": 5.4048004150390625,
|
708 |
+
"rewards/rejected": -7.066430568695068,
|
709 |
+
"step": 490
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.0,
|
713 |
+
"step": 491,
|
714 |
+
"total_flos": 0.0,
|
715 |
+
"train_loss": 0.20032393871645335,
|
716 |
+
"train_runtime": 8133.5998,
|
717 |
+
"train_samples_per_second": 1.928,
|
718 |
+
"train_steps_per_second": 0.06
|
719 |
+
}
|
720 |
+
],
|
721 |
+
"logging_steps": 10,
|
722 |
+
"max_steps": 491,
|
723 |
+
"num_input_tokens_seen": 0,
|
724 |
+
"num_train_epochs": 1,
|
725 |
+
"save_steps": 500,
|
726 |
+
"total_flos": 0.0,
|
727 |
+
"train_batch_size": 8,
|
728 |
+
"trial_name": null,
|
729 |
+
"trial_params": null
|
730 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:69c58154389fa4acf20d6af443445c01c0ffdfbc5b9c8d36fb036e78b4cd445e
|
3 |
+
size 5371
|