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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_train500_eval300_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_train500_eval300_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_train500_eval300_v1_recite_qa |
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type: tyzhu/lmind_hotpot_train500_eval300_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: 0.7413294517224648 |
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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_train500_eval300_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_train500_eval300_v1_recite_qa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4030 |
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- Accuracy: 0.7413 |
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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: constant |
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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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| 2.0739 | 0.5 | 66 | 1.8405 | 0.6206 | |
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| 1.8806 | 1.01 | 132 | 1.5749 | 0.6365 | |
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| 1.3619 | 1.51 | 198 | 1.3425 | 0.6533 | |
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| 1.283 | 2.02 | 264 | 1.1253 | 0.6685 | |
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| 0.8433 | 2.52 | 330 | 0.9735 | 0.6825 | |
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| 0.7629 | 3.02 | 396 | 0.7874 | 0.6982 | |
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| 0.5058 | 3.53 | 462 | 0.6921 | 0.7086 | |
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| 0.4593 | 4.03 | 528 | 0.5641 | 0.7197 | |
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| 0.3064 | 4.53 | 594 | 0.5348 | 0.7245 | |
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| 0.2967 | 5.04 | 660 | 0.4770 | 0.7304 | |
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| 0.2167 | 5.54 | 726 | 0.4582 | 0.7324 | |
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| 0.2157 | 6.05 | 792 | 0.4308 | 0.7358 | |
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| 0.1597 | 6.55 | 858 | 0.4301 | 0.7373 | |
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| 0.1481 | 7.05 | 924 | 0.4224 | 0.7385 | |
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| 0.1293 | 7.56 | 990 | 0.4125 | 0.7394 | |
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| 0.125 | 8.06 | 1056 | 0.4122 | 0.7400 | |
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| 0.1139 | 8.56 | 1122 | 0.4069 | 0.7407 | |
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| 0.1141 | 9.07 | 1188 | 0.4082 | 0.7409 | |
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| 0.0994 | 9.57 | 1254 | 0.4065 | 0.7412 | |
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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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