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# lmind_hotpot_train1000_eval500_v1_docidx_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_docidx dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7163
- Accuracy: 0.7533

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1796        | 1.0   | 185  | 1.9721          | 0.6731   |
| 1.6659        | 2.0   | 370  | 1.5372          | 0.6942   |
| 1.253         | 3.0   | 555  | 1.1821          | 0.7141   |
| 0.9003        | 4.0   | 740  | 0.9241          | 0.7301   |
| 0.6231        | 5.0   | 925  | 0.7864          | 0.7404   |
| 0.4552        | 6.0   | 1110 | 0.6808          | 0.7462   |
| 0.3385        | 7.0   | 1295 | 0.6492          | 0.7493   |
| 0.2645        | 8.0   | 1480 | 0.5944          | 0.7511   |
| 0.2127        | 9.0   | 1665 | 0.6305          | 0.7517   |
| 0.1839        | 10.0  | 1850 | 0.6418          | 0.7523   |
| 0.1604        | 11.0  | 2035 | 0.6421          | 0.7526   |
| 0.1412        | 12.0  | 2220 | 0.6231          | 0.7529   |
| 0.1316        | 13.0  | 2405 | 0.6256          | 0.7530   |
| 0.1254        | 14.0  | 2590 | 0.6976          | 0.7533   |
| 0.1259        | 15.0  | 2775 | 0.7237          | 0.7534   |
| 0.1234        | 16.0  | 2960 | 0.7245          | 0.7532   |
| 0.113         | 17.0  | 3145 | 0.7053          | 0.7533   |
| 0.117         | 18.0  | 3330 | 0.7132          | 0.7534   |
| 0.1148        | 19.0  | 3515 | 0.7206          | 0.7533   |
| 0.1149        | 20.0  | 3700 | 0.7163          | 0.7533   |


### 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_docidx"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval500_v1_docidx", "type": "tyzhu/lmind_hotpot_train1000_eval500_v1_docidx"}, "metrics": [{"type": "accuracy", "value": 0.7532853763337035, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval500_v1_docidx base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us