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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_train8000_eval7405_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_train8000_eval7405_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_train8000_eval7405_v1_recite_qa |
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type: tyzhu/lmind_hotpot_train8000_eval7405_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: 0.7664424114149346 |
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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_train8000_eval7405_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_train8000_eval7405_v1_recite_qa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4650 |
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- Accuracy: 0.7664 |
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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: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:-----:|:--------:|:---------------:| |
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| 1.9537 | 1.0 | 2179 | 0.6693 | 1.5623 | |
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| 1.4734 | 2.0 | 4358 | 0.6924 | 1.2099 | |
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| 1.0665 | 3.0 | 6537 | 0.7147 | 0.9178 | |
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| 0.7684 | 4.0 | 8716 | 0.7331 | 0.6988 | |
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| 0.548 | 5.0 | 10895 | 0.7466 | 0.5567 | |
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| 0.4039 | 6.0 | 13074 | 0.7551 | 0.4728 | |
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| 0.3044 | 7.0 | 15253 | 0.7600 | 0.4376 | |
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| 0.2446 | 8.0 | 17432 | 0.7628 | 0.4220 | |
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| 0.2039 | 9.0 | 19611 | 0.7642 | 0.4190 | |
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| 0.1787 | 10.0 | 21790 | 0.7649 | 0.4250 | |
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| 0.1652 | 11.0 | 23969 | 0.7654 | 0.4295 | |
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| 0.154 | 12.0 | 26148 | 0.7655 | 0.4366 | |
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| 0.1441 | 13.0 | 28327 | 0.7657 | 0.4429 | |
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| 0.143 | 14.0 | 30506 | 0.7657 | 0.4418 | |
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| 0.1366 | 15.0 | 32685 | 0.7661 | 0.4469 | |
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| 0.1335 | 16.0 | 34864 | 0.7661 | 0.4517 | |
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| 0.1299 | 17.0 | 37043 | 0.7662 | 0.4534 | |
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| 0.1271 | 18.0 | 39222 | 0.7664 | 0.4579 | |
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| 0.1268 | 19.0 | 41401 | 0.7664 | 0.4556 | |
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| 0.1238 | 20.0 | 43580 | 0.4650 | 0.7664 | |
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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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