yiran-wang3
commited on
Commit
•
e029483
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Parent(s):
91fdad7
End of training
Browse files- README.md +64 -0
- all_results.json +9 -0
- config.json +1 -1
- generation_config.json +14 -0
- train_results.json +9 -0
- trainer_state.json +693 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: yiran-wang3/qwen2_coder_reflct_adamw_iter5
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tags:
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- alignment-handbook
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- generated_from_trainer
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- trl
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- dpo
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datasets:
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- self-generate/qwcoder2_reflct_sppo_hard_new_cn_mining_oj_iter5-binarized-reflection-scored
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model-index:
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- name: qwen2_coder_reflct_adamw_iter6
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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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# qwen2_coder_reflct_adamw_iter6
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This model is a fine-tuned version of [yiran-wang3/qwen2_coder_reflct_adamw_iter5](https://huggingface.co/yiran-wang3/qwen2_coder_reflct_adamw_iter5) on the self-generate/qwcoder2_reflct_sppo_hard_new_cn_mining_oj_iter5-binarized-reflection-scored 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: 1e-06
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- train_batch_size: 8
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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: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.45.0
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- Pytorch 2.4.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.20.2
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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": 0.48688735404322225,
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"train_runtime": 123.759,
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"train_samples": 1967,
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"train_samples_per_second": 15.894,
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"train_steps_per_second": 0.25
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}
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config.json
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0",
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"use_cache":
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.45.0"
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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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"total_flos": 0.0,
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"train_loss": 0.48688735404322225,
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"train_runtime": 123.759,
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"train_samples": 1967,
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"train_samples_per_second": 15.894,
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"train_steps_per_second": 0.25
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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": 1.0,
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"eval_steps": 100,
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"global_step": 31,
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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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"debug/policy_chosen_logits": -3.141004800796509,
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"debug/policy_chosen_logps": -179.27029418945312,
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"debug/policy_rejected_logits": -3.201063394546509,
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"debug/policy_rejected_logps": -197.1785125732422,
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"debug/reference_chosen_logps": -179.27029418945312,
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"debug/reference_rejected_logps": -197.1785125732422,
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"epoch": 0.03225806451612903,
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"grad_norm": 9.90184688013874,
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"learning_rate": 1e-06,
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"logits/chosen": -3.141004800796509,
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"logits/rejected": -3.201063394546509,
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"logps/chosen": -179.27029418945312,
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"logps/rejected": -197.1785125732422,
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"loss": 0.5,
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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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"debug/policy_chosen_logits": -3.175147771835327,
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"debug/policy_chosen_logps": -170.20516967773438,
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"debug/policy_rejected_logits": -3.1672799587249756,
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"debug/policy_rejected_logps": -170.16004943847656,
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"debug/reference_chosen_logps": -172.45477294921875,
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"debug/reference_rejected_logps": -170.80857849121094,
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"epoch": 0.06451612903225806,
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"grad_norm": 12.759093734337377,
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