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# lmind_hotpot_train300_eval100_v1_doc_gpt2-xl

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train300_eval100_v1_doc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0959
- Accuracy: 0.7656

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2262        | 1.0   | 50   | 1.6761          | 0.6851   |
| 1.604         | 2.0   | 100  | 1.1198          | 0.7099   |
| 1.1352        | 3.0   | 150  | 0.6889          | 0.7315   |
| 0.7589        | 4.0   | 200  | 0.4210          | 0.7469   |
| 0.4852        | 5.0   | 250  | 0.2542          | 0.7574   |
| 0.3552        | 6.0   | 300  | 0.1713          | 0.7621   |
| 0.2549        | 7.0   | 350  | 0.1375          | 0.7640   |
| 0.2035        | 8.0   | 400  | 0.1167          | 0.7647   |
| 0.1711        | 9.0   | 450  | 0.1002          | 0.7655   |
| 0.1408        | 10.0  | 500  | 0.0959          | 0.7656   |


### 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_train300_eval100_v1_doc"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train300_eval100_v1_doc_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train300_eval100_v1_doc", "type": "tyzhu/lmind_hotpot_train300_eval100_v1_doc"}, "metrics": [{"type": "accuracy", "value": 0.7655879879217395, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train300_eval100_v1_doc base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us