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# lmind_hotpot_train5000_eval5000_v1_qa_gpt2-xl

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train5000_eval5000_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9956
- Accuracy: 0.5633

## 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 | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 2.6488        | 1.0   | 313  | 0.5767   | 2.6197          |
| 1.9892        | 2.0   | 626  | 0.5758   | 2.7106          |
| 1.3788        | 3.0   | 939  | 0.5721   | 2.9521          |
| 0.9243        | 4.0   | 1252 | 0.5692   | 3.2119          |
| 0.6509        | 5.0   | 1565 | 0.5686   | 3.3595          |
| 0.5014        | 6.0   | 1878 | 0.5676   | 3.5039          |
| 0.4455        | 7.0   | 2191 | 0.5673   | 3.6041          |
| 0.4176        | 8.0   | 2504 | 0.5665   | 3.6662          |
| 0.3912        | 9.0   | 2817 | 0.5651   | 3.7115          |
| 0.3774        | 10.0  | 3130 | 0.5661   | 3.7601          |
| 0.3707        | 11.0  | 3443 | 0.5658   | 3.7784          |
| 0.3591        | 12.0  | 3756 | 0.5644   | 3.8565          |
| 0.3521        | 13.0  | 4069 | 0.5654   | 3.8815          |
| 0.3549        | 14.0  | 4382 | 0.5651   | 3.9252          |
| 0.3384        | 15.0  | 4695 | 0.5643   | 3.9079          |
| 0.3387        | 16.0  | 5008 | 0.5651   | 3.9382          |
| 0.3362        | 17.0  | 5321 | 0.5644   | 3.9530          |
| 0.3316        | 18.0  | 5634 | 4.0298   | 0.5634          |
| 0.3259        | 19.0  | 5947 | 4.0192   | 0.5639          |
| 0.331         | 20.0  | 6260 | 3.9956   | 0.5633          |


### 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_train5000_eval5000_v1_qa"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train5000_eval5000_v1_qa_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train5000_eval5000_v1_qa", "type": "tyzhu/lmind_hotpot_train5000_eval5000_v1_qa"}, "metrics": [{"type": "accuracy", "value": 0.563326582278481, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train5000_eval5000_v1_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us