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# lmind_hotpot_train1000_eval200_v1_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_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0868
- Accuracy: 0.4471

## 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 | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.399         | 1.0   | 63   | 3.7127          | 0.4471   |
| 0.3398        | 2.0   | 126  | 3.8353          | 0.4445   |
| 0.3282        | 3.0   | 189  | 3.8576          | 0.4442   |
| 0.2946        | 4.0   | 252  | 3.9064          | 0.4465   |
| 0.2684        | 5.0   | 315  | 3.9915          | 0.4460   |
| 0.2773        | 6.0   | 378  | 4.0005          | 0.4462   |
| 0.2626        | 7.0   | 441  | 4.0161          | 0.4470   |
| 0.2648        | 8.0   | 504  | 4.0341          | 0.4479   |
| 0.2511        | 9.0   | 567  | 4.0416          | 0.4480   |
| 0.2498        | 10.0  | 630  | 4.0868          | 0.4471   |


### 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-xl", "model-index": [{"name": "lmind_hotpot_train1000_eval200_v1_qa_gpt2-xl", "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": 0.44706349206349205, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval200_v1_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us