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# lmind_hotpot_train500_eval300_v1_doc_qa_gpt2-xl

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train500_eval300_v1_doc_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0058
- Accuracy: 0.4846

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.362         | 0.5   | 66   | 3.0199          | 0.4322   |
| 2.2181        | 1.01  | 132  | 2.8089          | 0.4466   |
| 1.6215        | 1.51  | 198  | 2.6842          | 0.4630   |
| 1.7244        | 2.02  | 264  | 2.5990          | 0.4643   |
| 1.206         | 2.52  | 330  | 2.7068          | 0.4688   |
| 1.2286        | 3.02  | 396  | 2.6114          | 0.4792   |
| 0.8352        | 3.53  | 462  | 2.7068          | 0.4777   |
| 0.8422        | 4.03  | 528  | 2.7517          | 0.4780   |
| 0.5619        | 4.53  | 594  | 2.7983          | 0.4783   |
| 0.5152        | 5.04  | 660  | 2.7643          | 0.4810   |
| 0.3967        | 5.54  | 726  | 2.9189          | 0.4793   |
| 0.4176        | 6.05  | 792  | 2.9076          | 0.4818   |
| 0.2996        | 6.55  | 858  | 2.9383          | 0.4817   |
| 0.261         | 7.05  | 924  | 2.9526          | 0.4813   |
| 0.2475        | 7.56  | 990  | 2.9933          | 0.4795   |
| 0.2324        | 8.06  | 1056 | 2.9866          | 0.4829   |
| 0.2147        | 8.56  | 1122 | 2.9845          | 0.4842   |
| 0.2134        | 9.07  | 1188 | 2.9370          | 0.4822   |
| 0.1794        | 9.57  | 1254 | 2.9854          | 0.4835   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tyzhu/lmind_hotpot_train500_eval300_v1_doc_qa"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train500_eval300_v1_doc_qa_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train500_eval300_v1_doc_qa", "type": "tyzhu/lmind_hotpot_train500_eval300_v1_doc_qa"}, "metrics": [{"type": "accuracy", "value": 0.48455026455026456, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train500_eval300_v1_doc_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us