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# mind_hotpot_train300_eval100_v1_reciteonly_qa_tyzhu_lmind_hotpot_train300_eval100_v1_doc_gpt2-xl

This model is a fine-tuned version of [tyzhu/lmind_hotpot_train300_eval100_v1_doc_gpt2-xl](https://huggingface.co/tyzhu/lmind_hotpot_train300_eval100_v1_doc_gpt2-xl) on the tyzhu/lmind_hotpot_train300_eval100_v1_reciteonly_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4397
- Accuracy: 0.6916

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.501         | 1.0   | 19   | 0.3682          | 0.6914   |
| 0.3344        | 2.0   | 38   | 0.3405          | 0.6928   |
| 0.2145        | 3.0   | 57   | 0.3534          | 0.6926   |
| 0.1172        | 4.0   | 76   | 0.3789          | 0.6922   |
| 0.0872        | 5.0   | 95   | 0.3943          | 0.6922   |
| 0.0679        | 6.0   | 114  | 0.4189          | 0.6919   |
| 0.0525        | 7.0   | 133  | 0.4263          | 0.6920   |
| 0.0469        | 8.0   | 152  | 0.4327          | 0.6916   |
| 0.0434        | 9.0   | 171  | 0.4421          | 0.6916   |
| 0.045         | 10.0  | 190  | 0.4397          | 0.6916   |


### 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_train300_eval100_v1_reciteonly_qa"], "metrics": ["accuracy"], "base_model": "tyzhu/lmind_hotpot_train300_eval100_v1_doc_gpt2-xl", "model-index": [{"name": "mind_hotpot_train300_eval100_v1_reciteonly_qa_tyzhu_lmind_hotpot_train300_eval100_v1_doc_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train300_eval100_v1_reciteonly_qa", "type": "tyzhu/lmind_hotpot_train300_eval100_v1_reciteonly_qa"}, "metrics": [{"type": "accuracy", "value": 0.6916011644832606, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train300_eval100_v1_reciteonly_qa base_model:tyzhu/lmind_hotpot_train300_eval100_v1_doc_gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us