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# lmind_hotpot_train1000_eval500_v1_qa_tyzhu_lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl

This model is a fine-tuned version of [tyzhu/lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl](https://huggingface.co/tyzhu/lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl) on the tyzhu/lmind_hotpot_train1000_eval500_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2181
- Accuracy: 0.4923

## 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: 20.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1772        | 1.0   | 63   | 2.2108          | 0.4997   |
| 1.4563        | 2.0   | 126  | 2.3049          | 0.5015   |
| 0.8395        | 3.0   | 189  | 2.5648          | 0.4967   |
| 0.5466        | 4.0   | 252  | 2.7330          | 0.4954   |
| 0.4232        | 5.0   | 315  | 2.8425          | 0.4951   |
| 0.3866        | 6.0   | 378  | 2.8988          | 0.4969   |
| 0.3463        | 7.0   | 441  | 3.0367          | 0.4941   |
| 0.311         | 8.0   | 504  | 3.0244          | 0.4941   |
| 0.3082        | 9.0   | 567  | 3.0610          | 0.4947   |
| 0.3042        | 10.0  | 630  | 3.0935          | 0.4947   |
| 0.2868        | 11.0  | 693  | 3.1324          | 0.4928   |
| 0.2903        | 12.0  | 756  | 3.1138          | 0.4930   |
| 0.2833        | 13.0  | 819  | 3.1809          | 0.4925   |
| 0.2831        | 14.0  | 882  | 3.1943          | 0.4920   |
| 0.2772        | 15.0  | 945  | 3.1350          | 0.4923   |
| 0.2694        | 16.0  | 1008 | 3.2491          | 0.4912   |
| 0.276         | 17.0  | 1071 | 3.1668          | 0.4910   |
| 0.2725        | 18.0  | 1134 | 3.2108          | 0.4886   |
| 0.2679        | 19.0  | 1197 | 3.2188          | 0.4919   |
| 0.2668        | 20.0  | 1260 | 3.2181          | 0.4923   |


### 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_train1000_eval500_v1_qa"], "metrics": ["accuracy"], "base_model": "tyzhu/lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl", "model-index": [{"name": "lmind_hotpot_train1000_eval500_v1_qa_tyzhu_lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval500_v1_qa", "type": "tyzhu/lmind_hotpot_train1000_eval500_v1_qa"}, "metrics": [{"type": "accuracy", "value": 0.49228571428571427, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval500_v1_qa base_model:tyzhu/lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us