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# lmind_hotpot_train1000_eval500_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_eval500_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0586
- Accuracy: 0.4507

## 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: 20.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.9177        | 1.0   | 63   | 2.8167          | 0.4585   |
| 2.1159        | 2.0   | 126  | 2.8657          | 0.4595   |
| 1.4264        | 3.0   | 189  | 3.1667          | 0.4534   |
| 0.9077        | 4.0   | 252  | 3.3617          | 0.4514   |
| 0.5805        | 5.0   | 315  | 3.5110          | 0.4501   |
| 0.4627        | 6.0   | 378  | 3.6528          | 0.4505   |
| 0.4009        | 7.0   | 441  | 3.7918          | 0.4477   |
| 0.3532        | 8.0   | 504  | 3.7488          | 0.4482   |
| 0.3525        | 9.0   | 567  | 3.7843          | 0.4530   |
| 0.3327        | 10.0  | 630  | 3.8666          | 0.4509   |
| 0.3093        | 11.0  | 693  | 3.9065          | 0.4498   |
| 0.3138        | 12.0  | 756  | 3.8547          | 0.4501   |
| 0.2989        | 13.0  | 819  | 3.9250          | 0.4504   |
| 0.2895        | 14.0  | 882  | 3.9773          | 0.4488   |
| 0.2798        | 15.0  | 945  | 3.9882          | 0.4501   |
| 0.2765        | 16.0  | 1008 | 4.0392          | 0.4504   |
| 0.2747        | 17.0  | 1071 | 4.0403          | 0.4490   |
| 0.2681        | 18.0  | 1134 | 4.0541          | 0.4476   |
| 0.271         | 19.0  | 1197 | 4.0562          | 0.4502   |
| 0.2698        | 20.0  | 1260 | 4.0586          | 0.4507   |


### 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_eval500_v1_qa"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train1000_eval500_v1_qa_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval500_v1_qa", "type": "tyzhu/lmind_hotpot_train1000_eval500_v1_qa"}, "metrics": [{"type": "accuracy", "value": 0.4507301587301587, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval500_v1_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us