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# _lmind_hotpot_train1000_eval200_v1_qa__lmind_hotpot_train1000_eval200_v1_doc_gpt2-large

This model is a fine-tuned version of [tyzhu/lmind_hotpot_train1000_eval200_v1_doc_gpt2-large](https://huggingface.co/tyzhu/lmind_hotpot_train1000_eval200_v1_doc_gpt2-large) on the tyzhu/lmind_hotpot_train1000_eval200_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8415
- Accuracy: 0.4796

## 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 | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4369        | 1.0   | 32   | 2.5399          | 0.4783   |
| 2.0718        | 2.0   | 64   | 2.3851          | 0.4869   |
| 1.7368        | 3.0   | 96   | 2.4279          | 0.4867   |
| 1.3403        | 4.0   | 128  | 2.5286          | 0.4847   |
| 1.0725        | 5.0   | 160  | 2.6237          | 0.4821   |
| 0.94          | 6.0   | 192  | 2.6917          | 0.4813   |
| 0.8004        | 7.0   | 224  | 2.7527          | 0.4806   |
| 0.7446        | 8.0   | 256  | 2.7984          | 0.4802   |
| 0.6614        | 9.0   | 288  | 2.8379          | 0.4798   |
| 0.6645        | 10.0  | 320  | 2.8415          | 0.4796   |


### 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_qa"], "metrics": ["accuracy"], "base_model": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc_gpt2-large", "model-index": [{"name": "_lmind_hotpot_train1000_eval200_v1_qa__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_qa", "type": "tyzhu/lmind_hotpot_train1000_eval200_v1_qa"}, "metrics": [{"type": "accuracy", "value": 0.4796031746031746, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval200_v1_qa base_model:tyzhu/lmind_hotpot_train1000_eval200_v1_doc_gpt2-large license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us