Model save
Browse files- README.md +4 -6
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +8 -8
README.md
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license: other
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base_model: trl-lib/qwen1.5-0.5b-sft
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tags:
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- alignment-handbook
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- trl
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- simpo
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- generated_from_trainer
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datasets:
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- yakazimir/ultrafeedback_binarized
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on
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## Model description
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license: other
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base_model: trl-lib/qwen1.5-0.5b-sft
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tags:
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- trl
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- simpo
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- alignment-handbook
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- generated_from_trainer
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model-index:
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- name: simpo-exps_qwen05b
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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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# simpo-exps_qwen05b
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This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on an unknown dataset.
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## Model description
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all_results.json
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{
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"epoch": 0.
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"eval_logits/chosen": -0.35490095615386963,
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"eval_logits/rejected": -0.32419130206108093,
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"eval_logps/chosen": -1.7861407995224,
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"eval_samples_per_second": 22.457,
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"eval_steps_per_second": 5.627,
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"total_flos": 0.0,
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"train_loss":
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"train_runtime": 13.
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"train_samples": 59790,
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"train_samples_per_second": 11.
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"train_steps_per_second": 0.
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}
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{
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"epoch": 0.0032112393376818866,
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"eval_logits/chosen": -0.35490095615386963,
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"eval_logits/rejected": -0.32419130206108093,
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"eval_logps/chosen": -1.7861407995224,
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"eval_samples_per_second": 22.457,
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"eval_steps_per_second": 5.627,
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"total_flos": 0.0,
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"train_loss": 0.40756722291310626,
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"train_runtime": 13.7037,
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"train_samples": 59790,
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"train_samples_per_second": 11.676,
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"train_steps_per_second": 0.73
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}
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train_results.json
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{
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"epoch": 0.
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"total_flos": 0.0,
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"train_loss":
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"train_runtime": 13.
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"train_samples": 59790,
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"train_samples_per_second": 11.
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"train_steps_per_second": 0.
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}
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{
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"epoch": 0.0032112393376818866,
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"total_flos": 0.0,
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"train_loss": 0.40756722291310626,
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"train_runtime": 13.7037,
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"train_samples": 59790,
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"train_samples_per_second": 11.676,
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"train_steps_per_second": 0.73
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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.
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"eval_steps": 400,
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"global_step":
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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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"step": 10
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},
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{
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"epoch": 0.
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"step":
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"total_flos": 0.0,
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"train_loss":
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"train_runtime": 13.
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"train_samples_per_second": 11.
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"train_steps_per_second": 0.
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}
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],
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"logging_steps": 5,
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.0032112393376818866,
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"eval_steps": 400,
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"global_step": 12,
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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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"step": 10
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},
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{
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"epoch": 0.0032112393376818866,
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"step": 12,
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"total_flos": 0.0,
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"train_loss": 0.40756722291310626,
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"train_runtime": 13.7037,
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"train_samples_per_second": 11.676,
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"train_steps_per_second": 0.73
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}
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],
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"logging_steps": 5,
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