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# lmind_hotpot_train1000_eval200_v1_qa_gpt2-large

This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the tyzhu/lmind_hotpot_train1000_eval200_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3192
- Accuracy: 0.4536

## 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: 32
- 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 | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.3055        | 1.0   | 32   | 3.0966          | 0.4474   |
| 2.7307        | 2.0   | 64   | 2.7906          | 0.4581   |
| 2.2551        | 3.0   | 96   | 2.8091          | 0.4612   |
| 1.7798        | 4.0   | 128  | 2.9160          | 0.4581   |
| 1.5594        | 5.0   | 160  | 3.0021          | 0.4590   |
| 1.3919        | 6.0   | 192  | 3.1180          | 0.4558   |
| 1.1409        | 7.0   | 224  | 3.2154          | 0.4546   |
| 1.0947        | 8.0   | 256  | 3.2586          | 0.4557   |
| 0.9871        | 9.0   | 288  | 3.3141          | 0.4534   |
| 0.9792        | 10.0  | 320  | 3.3192          | 0.4536   |


### 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_qa"], "metrics": ["accuracy"], "base_model": "gpt2-large", "model-index": [{"name": "lmind_hotpot_train1000_eval200_v1_qa_gpt2-large", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval200_v1_qa", "type": "tyzhu/lmind_hotpot_train1000_eval200_v1_qa"}, "metrics": [{"type": "accuracy", "value": 0.45357142857142857, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval200_v1_qa base_model:gpt2-large license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us