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# _lmind_hotpot_train1000_eval200_v1_doc_gpt2-xl

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train1000_eval200_v1_doc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1633
- Accuracy: 0.7531

## 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: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 2.4227        | 1.0   | 149  | 0.6664   | 1.9958          |
| 1.9239        | 2.0   | 298  | 0.6897   | 1.3851          |
| 1.4367        | 3.0   | 447  | 0.7109   | 0.9192          |
| 1.0222        | 4.0   | 596  | 0.7281   | 0.6108          |
| 0.7312        | 5.0   | 745  | 0.7389   | 0.4172          |
| 0.581         | 6.0   | 894  | 0.7457   | 0.3016          |
| 0.4432        | 7.0   | 1043 | 0.7491   | 0.2353          |
| 0.3418        | 8.0   | 1192 | 0.1944   | 0.7516          |
| 0.2918        | 9.0   | 1341 | 0.1713   | 0.7527          |
| 0.2759        | 10.0  | 1490 | 0.1633   | 0.7531          |


### 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_eval200_v1_doc"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "_lmind_hotpot_train1000_eval200_v1_doc_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc", "type": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc"}, "metrics": [{"type": "accuracy", "value": 0.7531240248470159, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval200_v1_doc base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us