Delta-Vector
commited on
Commit
•
f8e98cd
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Parent(s):
0e7e540
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +59 -0
- all_results.json +8 -0
- config.json +34 -0
- generation_config.json +8 -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 +471 -0
- special_tokens_map.json +41 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +1760 -0
- train_results.json +8 -0
- trainer_log.jsonl +91 -0
- trainer_state.json +672 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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license: other
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: gemma-2-9b-control-4e-r2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gemma-2-9b-control-4e-r2
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This model is a fine-tuned version of [/data/models/gemma-9b-compl](https://huggingface.co//data/models/gemma-9b-compl) on the ds1, the ds2, the ds3, the ds4, the kalo_opus_1, the claude_instruct, the claude_instruct_2 and the epic_synth_2 datasets.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-06
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 12
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- total_train_batch_size: 24
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- total_eval_batch_size: 96
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- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 4.0
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### Training results
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.5.0a0+e000cf0ad9.nv24.10
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- Datasets 3.0.2
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- Tokenizers 0.20.1
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all_results.json
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{
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"epoch": 4.0,
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"total_flos": 648773332107264.0,
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"train_loss": 0.9660957064397535,
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"train_runtime": 3882.5924,
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"train_samples_per_second": 5.59,
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"train_steps_per_second": 0.234
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}
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config.json
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{
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"_name_or_path": "output_dir",
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"architectures": [
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"Gemma2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": 50.0,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"eos_token_id": 8,
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"final_logit_softcapping": 30.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "gemma2",
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"num_attention_heads": 16,
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"num_hidden_layers": 42,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"sliding_window_size": 4096,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
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"use_cache": false,
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"vocab_size": 256000
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}
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generation_config.json
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{
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"pad_token_id": 0,
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"transformers_version": "4.46.1"
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}
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|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
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 |
+
"4": {
|
38 |
+
"content": "<mask>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": false
|
44 |
+
},
|
45 |
+
"5": {
|
46 |
+
"content": "<2mass>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": false
|
52 |
+
},
|
53 |
+
"6": {
|
54 |
+
"content": "[@BOS@]",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": false
|
60 |
+
},
|
61 |
+
"7": {
|
62 |
+
"content": "<|im_start|>",
|
63 |
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1532 |
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1659 |
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1661 |
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|
1662 |
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1663 |
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|
1691 |
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|
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|
1694 |
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|
1699 |
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|
1700 |
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|
1701 |
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|
1702 |
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|
1703 |
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|
1704 |
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|
1705 |
+
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|
1706 |
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|
1707 |
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|
1708 |
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},
|
1709 |
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|
1710 |
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1711 |
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|
1712 |
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|
1713 |
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|
1714 |
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|
1715 |
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|
1716 |
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},
|
1717 |
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|
1718 |
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|
1719 |
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|
1720 |
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|
1721 |
+
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|
1722 |
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|
1723 |
+
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|
1724 |
+
},
|
1725 |
+
"215": {
|
1726 |
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|
1727 |
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|
1728 |
+
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|
1729 |
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|
1730 |
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|
1731 |
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|
1732 |
+
},
|
1733 |
+
"216": {
|
1734 |
+
"content": "</code>",
|
1735 |
+
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|
1736 |
+
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|
1737 |
+
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|
1738 |
+
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|
1739 |
+
"special": false
|
1740 |
+
}
|
1741 |
+
},
|
1742 |
+
"additional_special_tokens": [
|
1743 |
+
"<start_of_turn>",
|
1744 |
+
"<end_of_turn>",
|
1745 |
+
"<|im_start|>"
|
1746 |
+
],
|
1747 |
+
"bos_token": "<bos>",
|
1748 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
|
1749 |
+
"clean_up_tokenization_spaces": false,
|
1750 |
+
"eos_token": "<|im_end|>",
|
1751 |
+
"model_max_length": 1000000000000000019884624838656,
|
1752 |
+
"pad_token": "<pad>",
|
1753 |
+
"padding_side": "right",
|
1754 |
+
"sp_model_kwargs": {},
|
1755 |
+
"spaces_between_special_tokens": false,
|
1756 |
+
"split_special_tokens": false,
|
1757 |
+
"tokenizer_class": "GemmaTokenizer",
|
1758 |
+
"unk_token": "<unk>",
|
1759 |
+
"use_default_system_prompt": false
|
1760 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
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|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"total_flos": 648773332107264.0,
|
4 |
+
"train_loss": 0.9660957064397535,
|
5 |
+
"train_runtime": 3882.5924,
|
6 |
+
"train_samples_per_second": 5.59,
|
7 |
+
"train_steps_per_second": 0.234
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,91 @@
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