NicholasCorrado
commited on
Commit
•
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Parent(s):
131c977
Model save
Browse files- README.md +61 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- train_results.json +9 -0
- trainer_state.json +777 -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: 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: tulu-2-7b-rlced-conifer-dpo
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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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# tulu-2-7b-rlced-conifer-dpo
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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: 8
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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: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- total_eval_batch_size: 64
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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 4.44.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9984431759211209,
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"total_flos": 0.0,
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"train_loss": 0.21509297628908297,
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"train_runtime": 13791.8998,
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"train_samples": 123309,
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"train_samples_per_second": 8.941,
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"train_steps_per_second": 0.035
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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": "4.44.1"
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}
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train_results.json
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{
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"epoch": 0.9984431759211209,
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"total_flos": 0.0,
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"train_loss": 0.21509297628908297,
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"train_runtime": 13791.8998,
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"train_samples": 123309,
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"train_samples_per_second": 8.941,
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"train_steps_per_second": 0.035
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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": 0.9984431759211209,
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"eval_steps": 1000,
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"global_step": 481,
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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": 0.0020757654385054488,
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"grad_norm": 7.453095565847237,
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"learning_rate": 1.020408163265306e-08,
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"logits/chosen": -2.730942726135254,
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"logits/rejected": -2.654609203338623,
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"logps/chosen": -350.489990234375,
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"logps/rejected": -325.546875,
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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": 0.02075765438505449,
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"grad_norm": 7.86433669667092,
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"learning_rate": 1.0204081632653061e-07,
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"logits/chosen": -2.7328553199768066,
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"logits/rejected": -2.734957695007324,
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"logps/chosen": -366.4744567871094,
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"logps/rejected": -412.2707824707031,
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"loss": 0.693,
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"rewards/accuracies": 0.4583333432674408,
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"rewards/chosen": 0.0002039541577687487,
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"rewards/margins": 0.00048357987543568015,
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"rewards/rejected": -0.00027962555759586394,
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"step": 10
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},
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{
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"epoch": 0.04151530877010898,
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"grad_norm": 7.528284552671321,
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"learning_rate": 2.0408163265306121e-07,
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"logits/chosen": -2.717175006866455,
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"logits/rejected": -2.6938576698303223,
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"logps/chosen": -378.77813720703125,
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"logps/rejected": -404.4546813964844,
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