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: TTTXXX01/All_like-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: Bernoulli_Like_Negative1-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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# Bernoulli_Like_Negative1-zephyr-7b-sft-full
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This model is a fine-tuned version of [TTTXXX01/All_like-zephyr-7b-sft-full](https://huggingface.co/TTTXXX01/All_like-zephyr-7b-sft-full) on an unknown dataset.
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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-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 2.2.2+cu118
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- Datasets 2.19.2
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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": 1.6157182269792543,
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"train_runtime": 13119.408,
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"train_samples": 61135,
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"train_samples_per_second": 4.66,
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"train_steps_per_second": 0.097
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}
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config.json
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{
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"_name_or_path": "TTTXXX01/All_like-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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version https://git-lfs.github.com/spec/v1
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oid sha256:430a39f32e2a7a006dcddaf08b02ccd13603fbcaf64cd69c809c36efc84e7fe9
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size 4943162336
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4999819336
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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|
| 297 |
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|
| 298 |
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}
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special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
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"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
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"rstrip": false,
|
| 7 |
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"single_word": false
|
| 8 |
+
},
|
| 9 |
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"eos_token": {
|
| 10 |
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"content": "</s>",
|
| 11 |
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"lstrip": false,
|
| 12 |
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"normalized": false,
|
| 13 |
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"rstrip": false,
|
| 14 |
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"single_word": false
|
| 15 |
+
},
|
| 16 |
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"pad_token": {
|
| 17 |
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"content": "</s>",
|
| 18 |
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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 |
+
},
|
| 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 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"additional_special_tokens": [],
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"legacy": true,
|
| 36 |
+
"model_max_length": 2048,
|
| 37 |
+
"pad_token": "</s>",
|
| 38 |
+
"sp_model_kwargs": {},
|
| 39 |
+
"spaces_between_special_tokens": false,
|
| 40 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 41 |
+
"unk_token": "<unk>",
|
| 42 |
+
"use_default_system_prompt": false
|
| 43 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
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{
|
| 2 |
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"epoch": 1.0,
|
| 3 |
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"total_flos": 0.0,
|
| 4 |
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"train_loss": 1.6157182269792543,
|
| 5 |
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"train_runtime": 13119.408,
|
| 6 |
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"train_samples": 61135,
|
| 7 |
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"train_samples_per_second": 4.66,
|
| 8 |
+
"train_steps_per_second": 0.097
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1962 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
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"epoch": 1.0,
|
| 5 |
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"eval_steps": 500,
|
| 6 |
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"global_step": 1274,
|
| 7 |
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"is_hyper_param_search": false,
|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
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"epoch": 0.0007849293563579278,
|
| 13 |
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"grad_norm": 11.458238972118851,
|
| 14 |
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"learning_rate": 2.34375e-09,
|
| 15 |
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"logits/chosen": 5914.86328125,
|
| 16 |
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"logits/rejected": 2785.05078125,
|
| 17 |
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"logps/chosen": -212.39956665039062,
|
| 18 |
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"logps/rejected": -98.58319854736328,
|
| 19 |
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"loss": 1.6265,
|
| 20 |
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"rewards/accuracies": 0.0,
|
| 21 |
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"rewards/chosen": 0.0,
|
| 22 |
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"rewards/margins": 0.0,
|
| 23 |
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"rewards/rejected": 0.0,
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| 24 |
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"step": 1
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| 25 |
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},
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| 26 |
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{
|
| 27 |
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"epoch": 0.007849293563579277,
|
| 28 |
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"grad_norm": 10.944765962770576,
|
| 29 |
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 7352
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