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# lmind_hotpot_train1000_eval200_v1_doc_gpt2-large

This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the tyzhu/lmind_hotpot_train1000_eval200_v1_doc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8422
- Accuracy: 0.7160

## 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: 32
- 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 | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 2.5273        | 1.0   | 75   | 0.6564   | 2.2613          |
| 2.265         | 2.0   | 150  | 0.6687   | 1.9134          |
| 1.9726        | 3.0   | 225  | 0.6792   | 1.6361          |
| 1.7684        | 4.0   | 300  | 0.6886   | 1.4118          |
| 1.5813        | 5.0   | 375  | 0.6967   | 1.2361          |
| 1.3799        | 6.0   | 450  | 0.7036   | 1.0886          |
| 1.272         | 7.0   | 525  | 0.7091   | 0.9774          |
| 1.1806        | 8.0   | 600  | 0.7130   | 0.9043          |
| 1.0881        | 9.0   | 675  | 0.8592   | 0.7152          |
| 1.0488        | 10.0  | 750  | 0.8422   | 0.7160          |


### 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_doc"], "metrics": ["accuracy"], "base_model": "gpt2-large", "model-index": [{"name": "lmind_hotpot_train1000_eval200_v1_doc_gpt2-large", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc", "type": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc"}, "metrics": [{"type": "accuracy", "value": 0.7159656878134042, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval200_v1_doc base_model:gpt2-large license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us