Model save
Browse files- README.md +1 -6
- adapter_config.json +5 -5
- all_results.json +7 -7
- eval_results.json +3 -3
- train_results.json +4 -4
- trainer_state.json +4 -22
- training_args.bin +1 -1
README.md
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license: other
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library_name: peft
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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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- sft
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- generated_from_trainer
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datasets:
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- ruozhiba
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base_model: 01-ai/Yi-6B
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model-index:
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- name: Yi-6B-ruozhiba-1e-5-50
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@@ -20,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# Yi-6B-ruozhiba-1e-5-50
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This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.9875
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| 1.2944 | 17.0 | 935 | 1.9819 |
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| 1.3433 | 18.0 | 990 | 1.9856 |
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| 1.2058 | 19.0 | 1045 | 1.9871 |
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| 1.2904 | 20.0 | 1100 | 1.9875 |
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### Framework versions
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license: other
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: 01-ai/Yi-6B
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model-index:
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- name: Yi-6B-ruozhiba-1e-5-50
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# Yi-6B-ruozhiba-1e-5-50
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This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9875
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| 1.2944 | 17.0 | 935 | 1.9819 |
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| 1.3433 | 18.0 | 990 | 1.9856 |
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| 1.2058 | 19.0 | 1045 | 1.9871 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"up_proj",
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"v_proj",
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"q_proj",
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"o_proj",
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"down_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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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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"down_proj",
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"gate_proj",
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"o_proj",
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"q_proj",
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"up_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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all_results.json
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{
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"epoch": 20.0,
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"eval_loss": 1.987522840499878,
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"eval_runtime":
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"eval_samples": 23,
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"eval_samples_per_second":
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"eval_steps_per_second":
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"train_loss":
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"train_runtime":
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"train_samples": 217,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 20.0,
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"eval_loss": 1.987522840499878,
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"eval_runtime": 6.7242,
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"eval_samples": 23,
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"eval_samples_per_second": 3.42,
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"eval_steps_per_second": 0.892,
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"train_loss": 0.0,
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"train_runtime": 12.2134,
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"train_samples": 217,
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"train_samples_per_second": 355.347,
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"train_steps_per_second": 90.065
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}
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eval_results.json
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{
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"epoch": 20.0,
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"eval_loss": 1.987522840499878,
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"eval_runtime":
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"eval_samples": 23,
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 20.0,
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"eval_loss": 1.987522840499878,
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"eval_runtime": 6.7242,
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"eval_samples": 23,
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"eval_samples_per_second": 3.42,
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"eval_steps_per_second": 0.892
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}
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train_results.json
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{
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"epoch": 20.0,
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"train_loss":
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"train_runtime":
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"train_samples": 217,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 20.0,
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"train_loss": 0.0,
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"train_runtime": 12.2134,
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"train_samples": 217,
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"train_samples_per_second": 355.347,
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"train_steps_per_second": 90.065
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}
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trainer_state.json
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"loss": 1.2904,
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"step": 1100
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},
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{
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"epoch": 20.0,
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"gpt4_scores": 0.59,
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"step": 1100
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},
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{
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"epoch": 20.0,
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"std": 0.130728726758888,
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"step": 1100
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},
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{
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"epoch": 20.0,
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"eval_loss": 1.987522840499878,
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"eval_runtime": 4.9557,
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"eval_samples_per_second": 4.641,
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"eval_steps_per_second": 1.211,
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"step": 1100
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},
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{
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"epoch": 20.0,
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"step": 1100,
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"total_flos": 3.792475205866291e+16,
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"train_loss":
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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],
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"logging_steps": 4,
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"loss": 1.2904,
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"step": 1100
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},
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{
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"epoch": 20.0,
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"step": 1100,
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"total_flos": 3.792475205866291e+16,
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"train_loss": 0.0,
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"train_runtime": 12.2134,
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"train_samples_per_second": 355.347,
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"train_steps_per_second": 90.065
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}
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"logging_steps": 4,
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training_args.bin
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oid sha256:
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size 4792
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version https://git-lfs.github.com/spec/v1
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size 4792
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