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# lmind_hotpot_train1000_eval500_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_eval500_v1_doc_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0548
- Accuracy: 0.5010

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2187        | 1.0   | 248  | 2.5085          | 0.4762   |
| 1.6852        | 2.0   | 496  | 2.3830          | 0.4875   |
| 1.2336        | 3.0   | 744  | 2.4652          | 0.4898   |
| 0.862         | 4.0   | 992  | 2.5831          | 0.4923   |
| 0.6052        | 5.0   | 1240 | 2.6439          | 0.4959   |
| 0.4452        | 6.0   | 1488 | 2.7454          | 0.4959   |
| 0.3473        | 7.0   | 1736 | 2.8081          | 0.4969   |
| 0.2858        | 8.0   | 1984 | 2.8407          | 0.4973   |
| 0.2332        | 9.0   | 2232 | 2.8899          | 0.4959   |
| 0.2052        | 10.0  | 2480 | 2.9088          | 0.4991   |
| 0.1906        | 11.0  | 2728 | 2.9053          | 0.4995   |
| 0.1702        | 12.0  | 2976 | 2.8986          | 0.4996   |
| 0.1639        | 13.0  | 3224 | 2.9317          | 0.4971   |
| 0.1639        | 14.0  | 3472 | 2.9664          | 0.4995   |
| 0.1529        | 15.0  | 3720 | 2.9802          | 0.4995   |
| 0.1483        | 16.0  | 3968 | 2.9907          | 0.4997   |
| 0.1515        | 17.0  | 4216 | 3.0062          | 0.4992   |
| 0.1508        | 18.0  | 4464 | 3.0597          | 0.5001   |
| 0.1464        | 19.0  | 4712 | 3.0219          | 0.5      |
| 0.1435        | 20.0  | 4960 | 3.0548          | 0.5010   |


### 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_doc_qa"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train1000_eval500_v1_doc_qa_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval500_v1_doc_qa", "type": "tyzhu/lmind_hotpot_train1000_eval500_v1_doc_qa"}, "metrics": [{"type": "accuracy", "value": 0.500984126984127, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval500_v1_doc_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us