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# lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train500_eval300_v1_docidx dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5254
- Accuracy: 0.7621

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2864        | 0.5   | 50   | 2.3389          | 0.6680   |
| 2.2012        | 1.0   | 100  | 2.0673          | 0.6791   |
| 1.7486        | 1.5   | 150  | 1.7825          | 0.6902   |
| 1.7512        | 2.0   | 200  | 1.5968          | 0.7007   |
| 1.247         | 2.5   | 250  | 1.3523          | 0.7115   |
| 1.2279        | 3.0   | 300  | 1.1937          | 0.7218   |
| 0.8736        | 3.5   | 350  | 1.0200          | 0.7304   |
| 0.9104        | 4.0   | 400  | 0.9086          | 0.7385   |
| 0.6105        | 4.5   | 450  | 0.8166          | 0.7436   |
| 0.6559        | 5.0   | 500  | 0.7484          | 0.7492   |
| 0.4146        | 5.5   | 550  | 0.6939          | 0.7525   |
| 0.4511        | 6.0   | 600  | 0.6667          | 0.7558   |
| 0.3127        | 6.5   | 650  | 0.6307          | 0.7569   |
| 0.3348        | 7.0   | 700  | 0.6099          | 0.7589   |
| 0.2311        | 7.5   | 750  | 0.6051          | 0.7597   |
| 0.2424        | 8.0   | 800  | 0.6018          | 0.7605   |
| 0.1918        | 8.5   | 850  | 0.7272          | 0.7581   |
| 0.2145        | 9.0   | 900  | 0.5725          | 0.7614   |
| 0.1699        | 9.5   | 950  | 0.5084          | 0.7617   |
| 0.1643        | 10.0  | 1000 | 0.5254          | 0.7621   |


### 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_train500_eval300_v1_docidx"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train500_eval300_v1_docidx", "type": "tyzhu/lmind_hotpot_train500_eval300_v1_docidx"}, "metrics": [{"type": "accuracy", "value": 0.7621299653921988, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train500_eval300_v1_docidx base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us