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# lmind_hotpot_train1000_eval200_v1_doc_qa_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_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9126
- Accuracy: 0.4870

## 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 |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 2.4936        | 1.0   | 211  | 0.4638   | 2.6663          |
| 1.9398        | 2.0   | 422  | 0.4821   | 2.4557          |
| 1.439         | 3.0   | 633  | 0.4859   | 2.4842          |
| 0.988         | 4.0   | 844  | 2.5887   | 0.4857          |
| 0.7205        | 5.0   | 1055 | 2.6817   | 0.4857          |
| 0.5721        | 6.0   | 1266 | 2.7190   | 0.4867          |
| 0.4959        | 7.0   | 1477 | 2.7787   | 0.4882          |
| 0.3934        | 8.0   | 1688 | 2.8363   | 0.4872          |
| 0.3235        | 9.0   | 1899 | 2.8691   | 0.4879          |
| 0.2918        | 10.0  | 2110 | 2.9126   | 0.4870          |


### 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_qa"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train1000_eval200_v1_doc_qa_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa", "type": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa"}, "metrics": [{"type": "accuracy", "value": 0.48698412698412696, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us