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# lmind_hotpot_train500_eval300_v1_recite_qa_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_recite_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4030
- Accuracy: 0.7413

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0739        | 0.5   | 66   | 1.8405          | 0.6206   |
| 1.8806        | 1.01  | 132  | 1.5749          | 0.6365   |
| 1.3619        | 1.51  | 198  | 1.3425          | 0.6533   |
| 1.283         | 2.02  | 264  | 1.1253          | 0.6685   |
| 0.8433        | 2.52  | 330  | 0.9735          | 0.6825   |
| 0.7629        | 3.02  | 396  | 0.7874          | 0.6982   |
| 0.5058        | 3.53  | 462  | 0.6921          | 0.7086   |
| 0.4593        | 4.03  | 528  | 0.5641          | 0.7197   |
| 0.3064        | 4.53  | 594  | 0.5348          | 0.7245   |
| 0.2967        | 5.04  | 660  | 0.4770          | 0.7304   |
| 0.2167        | 5.54  | 726  | 0.4582          | 0.7324   |
| 0.2157        | 6.05  | 792  | 0.4308          | 0.7358   |
| 0.1597        | 6.55  | 858  | 0.4301          | 0.7373   |
| 0.1481        | 7.05  | 924  | 0.4224          | 0.7385   |
| 0.1293        | 7.56  | 990  | 0.4125          | 0.7394   |
| 0.125         | 8.06  | 1056 | 0.4122          | 0.7400   |
| 0.1139        | 8.56  | 1122 | 0.4069          | 0.7407   |
| 0.1141        | 9.07  | 1188 | 0.4082          | 0.7409   |
| 0.0994        | 9.57  | 1254 | 0.4065          | 0.7412   |


### 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_recite_qa"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train500_eval300_v1_recite_qa_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train500_eval300_v1_recite_qa", "type": "tyzhu/lmind_hotpot_train500_eval300_v1_recite_qa"}, "metrics": [{"type": "accuracy", "value": 0.7413294517224648, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train500_eval300_v1_recite_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us