End of training
Browse files- README.md +14 -2
- all_results.json +14 -11
- eval_results.json +9 -7
- train_results.json +6 -5
- trainer_state.json +1320 -161
README.md
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@@ -3,11 +3,23 @@ license: other
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base_model: Qwen/Qwen1.5-4B
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: lmind_hotpot_train8000_eval7405_v1_qa_3e-5_lora2
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results:
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library_name: peft
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---
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@@ -16,7 +28,7 @@ should probably proofread and complete it, then remove this comment. -->
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# lmind_hotpot_train8000_eval7405_v1_qa_3e-5_lora2
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This model is a fine-tuned version of [Qwen/Qwen1.5-4B](https://huggingface.co/Qwen/Qwen1.5-4B) on
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It achieves the following results on the evaluation set:
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- Loss: 4.4436
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- Accuracy: 0.4835
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base_model: Qwen/Qwen1.5-4B
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tags:
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- generated_from_trainer
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datasets:
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- tyzhu/lmind_hotpot_train8000_eval7405_v1_qa
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metrics:
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- accuracy
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model-index:
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- name: lmind_hotpot_train8000_eval7405_v1_qa_3e-5_lora2
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results:
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: tyzhu/lmind_hotpot_train8000_eval7405_v1_qa
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type: tyzhu/lmind_hotpot_train8000_eval7405_v1_qa
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.4834920634920635
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library_name: peft
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---
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# lmind_hotpot_train8000_eval7405_v1_qa_3e-5_lora2
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+
This model is a fine-tuned version of [Qwen/Qwen1.5-4B](https://huggingface.co/Qwen/Qwen1.5-4B) on the tyzhu/lmind_hotpot_train8000_eval7405_v1_qa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.4436
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- Accuracy: 0.4835
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all_results.json
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eval_results.json
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trainer_state.json
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