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--- |
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license: mit |
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base_model: gpt2-xl |
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tags: |
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- generated_from_trainer |
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datasets: |
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- tyzhu/lmind_hotpot_train1000_eval200_v1_recite_qa |
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metrics: |
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- accuracy |
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model-index: |
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- name: lmind_hotpot_train1000_eval200_v1_recite_qa_gpt2-xl |
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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_train1000_eval200_v1_recite_qa |
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type: tyzhu/lmind_hotpot_train1000_eval200_v1_recite_qa |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6988971684053651 |
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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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# lmind_hotpot_train1000_eval200_v1_recite_qa_gpt2-xl |
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This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train1000_eval200_v1_recite_qa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4436 |
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- Accuracy: 0.6989 |
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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: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7644 | 1.0 | 211 | 1.0036 | 0.6429 | |
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| 0.526 | 2.0 | 422 | 0.7351 | 0.6658 | |
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| 0.4163 | 3.0 | 633 | 0.5744 | 0.6815 | |
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| 0.2864 | 4.0 | 844 | 0.4953 | 0.6899 | |
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| 0.2118 | 5.0 | 1055 | 0.4594 | 0.6944 | |
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| 0.17 | 6.0 | 1266 | 0.4490 | 0.6964 | |
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| 0.134 | 7.0 | 1477 | 0.4369 | 0.6979 | |
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| 0.1206 | 8.0 | 1688 | 0.4372 | 0.6987 | |
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| 0.1081 | 9.0 | 1899 | 0.4423 | 0.6987 | |
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| 0.1053 | 10.0 | 2110 | 0.4436 | 0.6989 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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