Model save
Browse files- README.md +75 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- all_results.json +8 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +8 -0
- trainer_state.json +270 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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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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base_model: alignment-handbook/zephyr-7b-sft-full
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model-index:
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- name: nash_dpo_doff_real_no_golden_iter_1
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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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# nash_dpo_doff_real_no_golden_iter_1
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6749
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- Rewards/chosen: -0.0411
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- Rewards/rejected: -0.0904
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- Rewards/accuracies: 0.6100
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- Rewards/margins: 0.0493
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- Logps/rejected: -266.5563
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- Logps/chosen: -288.1525
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- Logits/rejected: -2.6646
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- Logits/chosen: -2.7444
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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-06
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- train_batch_size: 2
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- eval_batch_size: 2
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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: 16
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- total_train_batch_size: 128
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- total_eval_batch_size: 8
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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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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.6794 | 0.65 | 100 | 0.6749 | -0.0411 | -0.0904 | 0.6100 | 0.0493 | -266.5563 | -288.1525 | -2.6646 | -2.7444 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 128,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"o_proj",
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"k_proj",
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"up_proj",
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"gate_proj",
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"q_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2cedc24544d143369339e6ac940b89bf8953c50f64cf0eb78e125a9d54d0ba01
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size 335605144
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.682184520889731,
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"train_runtime": 6549.791,
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"train_samples": 19600,
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"train_samples_per_second": 2.992,
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"train_steps_per_second": 0.023
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"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 %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.682184520889731,
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"train_runtime": 6549.791,
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"train_samples": 19600,
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"train_samples_per_second": 2.992,
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"train_steps_per_second": 0.023
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.9991836734693877,
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"eval_steps": 100,
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"global_step": 153,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.01,
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"learning_rate": 3.125e-07,
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"logits/chosen": -2.8246347904205322,
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"logits/rejected": -2.7856249809265137,
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"logps/chosen": -238.8000030517578,
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"logps/rejected": -252.79095458984375,
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"loss": 0.6931,
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"rewards/accuracies": 0.0,
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"rewards/chosen": 0.0,
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"rewards/margins": 0.0,
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"rewards/rejected": 0.0,
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"step": 1
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},
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{
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"epoch": 0.07,
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"learning_rate": 3.125e-06,
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"logits/chosen": -2.786410331726074,
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"logits/rejected": -2.722076177597046,
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"logps/chosen": -234.3753204345703,
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"logps/rejected": -252.82334899902344,
|
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"loss": 0.6931,
|
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"rewards/accuracies": 0.4340277910232544,
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"rewards/chosen": 0.00016520876670256257,
|
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"rewards/margins": 0.00022823104518465698,
|
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"rewards/rejected": -6.302232213784009e-05,
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"step": 10
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},
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{
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"epoch": 0.13,
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training_args.bin
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@@ -0,0 +1,3 @@
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