Model save
Browse files- README.md +60 -0
- all_results.json +9 -0
- config.json +26 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +9 -0
- trainer_state.json +1962 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: alignment-handbook/zephyr-7b-sft-full
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: DPO-Baseline-zephyr-7b-sft-full
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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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# DPO-Baseline-zephyr-7b-sft-full
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
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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: 5e-07
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- train_batch_size: 6
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 48
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.5271364345655336,
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"train_runtime": 13001.8761,
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"train_samples": 61135,
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"train_samples_per_second": 4.702,
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"train_steps_per_second": 0.098
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}
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config.json
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{
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"_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.41.2"
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}
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model-00001-of-00003.safetensors
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size 4943162336
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model-00002-of-00003.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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|
1 |
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{
|
2 |
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"bos_token": {
|
3 |
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"content": "<s>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": false,
|
6 |
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"rstrip": false,
|
7 |
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"single_word": false
|
8 |
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},
|
9 |
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"eos_token": {
|
10 |
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"content": "</s>",
|
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|
12 |
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"normalized": false,
|
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"rstrip": false,
|
14 |
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"single_word": false
|
15 |
+
},
|
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"pad_token": {
|
17 |
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"content": "</s>",
|
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"lstrip": false,
|
19 |
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"normalized": false,
|
20 |
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"rstrip": false,
|
21 |
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"single_word": false
|
22 |
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},
|
23 |
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"unk_token": {
|
24 |
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"content": "<unk>",
|
25 |
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"lstrip": false,
|
26 |
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"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 @@
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|
1 |
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{
|
2 |
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"add_bos_token": true,
|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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"single_word": false,
|
11 |
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"special": true
|
12 |
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},
|
13 |
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"1": {
|
14 |
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"content": "<s>",
|
15 |
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|
16 |
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"normalized": false,
|
17 |
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"rstrip": false,
|
18 |
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"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
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"2": {
|
22 |
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"content": "</s>",
|
23 |
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|
24 |
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|
25 |
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|
26 |
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"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 2048,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
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|
1 |
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{
|
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"epoch": 1.0,
|
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"total_flos": 0.0,
|
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"train_loss": 0.5271364345655336,
|
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"train_runtime": 13001.8761,
|
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|
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"train_samples_per_second": 4.702,
|
8 |
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"train_steps_per_second": 0.098
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1962 @@
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1 |
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{
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2 |
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"best_metric": null,
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3 |
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"best_model_checkpoint": null,
|
4 |
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"epoch": 1.0,
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5 |
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"eval_steps": 500,
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6 |
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8 |
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9 |
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"is_world_process_zero": true,
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10 |
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"log_history": [
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{
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12 |
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"epoch": 0.0007849293563579278,
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13 |
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14 |
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"learning_rate": 3.90625e-09,
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15 |
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16 |
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"loss": 0.6931,
|
20 |
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