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# lmind_hotpot_train300_eval100_v1_doc_qa_gpt2-xl

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train300_eval100_v1_doc_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1419
- Accuracy: 0.4767

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2649        | 1.0   | 69   | 2.9198          | 0.432    |
| 1.6876        | 2.0   | 138  | 2.6565          | 0.4515   |
| 1.2106        | 3.0   | 207  | 2.6372          | 0.4615   |
| 0.7878        | 4.0   | 276  | 2.7670          | 0.4642   |
| 0.5322        | 5.0   | 345  | 2.8358          | 0.466    |
| 0.3483        | 6.0   | 414  | 2.8922          | 0.4698   |
| 0.2892        | 7.0   | 483  | 2.9656          | 0.4711   |
| 0.2335        | 8.0   | 552  | 3.0155          | 0.4676   |
| 0.1897        | 9.0   | 621  | 3.0421          | 0.474    |
| 0.1663        | 10.0  | 690  | 3.1419          | 0.4767   |


### 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_doc_qa"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train300_eval100_v1_doc_qa_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train300_eval100_v1_doc_qa", "type": "tyzhu/lmind_hotpot_train300_eval100_v1_doc_qa"}, "metrics": [{"type": "accuracy", "value": 0.4767272727272727, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train300_eval100_v1_doc_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us