Model save
Browse files- README.md +1 -6
- adapter_config.json +2 -2
- all_results.json +7 -7
- eval_results.json +3 -3
- train_results.json +4 -4
- trainer_state.json +4 -18
- 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: 1.9848
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| 1.9567 | 7.0 | 385 | 1.9889 |
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| 1.9235 | 8.0 | 440 | 1.9856 |
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| 1.8121 | 9.0 | 495 | 1.9849 |
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| 1.874 | 10.0 | 550 | 1.9848 |
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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: 1.9848
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| 1.9567 | 7.0 | 385 | 1.9889 |
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| 1.9235 | 8.0 | 440 | 1.9856 |
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| 1.8121 | 9.0 | 495 | 1.9849 |
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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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"gate_proj",
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"q_proj",
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"up_proj",
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"v_proj",
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"k_proj",
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"o_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"gate_proj",
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"k_proj",
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"q_proj",
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"up_proj",
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"v_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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all_results.json
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{
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"epoch": 10.0,
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"eval_loss": 1.9848212003707886,
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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": 10.0,
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"eval_loss": 1.9848212003707886,
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"eval_runtime": 6.6898,
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"eval_samples": 23,
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"eval_samples_per_second": 3.438,
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"eval_steps_per_second": 0.897,
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"train_loss": 0.0,
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"train_runtime": 10.6048,
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"train_samples": 217,
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"train_samples_per_second": 204.624,
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"train_steps_per_second": 51.863
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_loss": 1.9848212003707886,
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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": 10.0,
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"eval_loss": 1.9848212003707886,
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"eval_runtime": 6.6898,
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"eval_samples": 23,
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"eval_samples_per_second": 3.438,
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"eval_steps_per_second": 0.897
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}
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train_results.json
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{
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"epoch": 10.0,
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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": 10.0,
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"train_loss": 0.0,
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"train_runtime": 10.6048,
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"train_samples": 217,
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"train_samples_per_second": 204.624,
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"train_steps_per_second": 51.863
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}
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trainer_state.json
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"loss": 1.874,
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"step": 548
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},
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{
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"epoch": 10.0,
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"pls_score": 62.44897959183673,
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"std": 4.1477362667705515,
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"step": 550
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},
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{
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"epoch": 10.0,
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"eval_loss": 1.9848212003707886,
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"eval_runtime": 4.9046,
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"eval_samples_per_second": 4.689,
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"eval_steps_per_second": 1.223,
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"step": 550
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},
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{
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"epoch": 10.0,
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"step": 550,
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"total_flos": 1.8756405193949184e+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": 1.874,
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"step": 548
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},
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{
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"epoch": 10.0,
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"step": 550,
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"total_flos": 1.8756405193949184e+16,
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"train_loss": 0.0,
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"train_runtime": 10.6048,
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"train_samples_per_second": 204.624,
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"train_steps_per_second": 51.863
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}
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"logging_steps": 4,
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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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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