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# hotpot_train1000_eval500_v1_reciteonly_qa_tyzhu_lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl

This model is a fine-tuned version of [tyzhu/lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl](https://huggingface.co/tyzhu/lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl) on the tyzhu/lmind_hotpot_train1000_eval500_v1_reciteonly_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4386
- Accuracy: 0.7491

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3303        | 1.0   | 63   | 0.3062          | 0.7498   |
| 0.2269        | 2.0   | 126  | 0.3111          | 0.7501   |
| 0.1576        | 3.0   | 189  | 0.3422          | 0.7498   |
| 0.1083        | 4.0   | 252  | 0.3657          | 0.7496   |
| 0.0753        | 5.0   | 315  | 0.3807          | 0.7496   |
| 0.0611        | 6.0   | 378  | 0.3945          | 0.7494   |
| 0.0534        | 7.0   | 441  | 0.4042          | 0.7495   |
| 0.0497        | 8.0   | 504  | 0.4060          | 0.7494   |
| 0.0486        | 9.0   | 567  | 0.4115          | 0.7495   |
| 0.0441        | 10.0  | 630  | 0.4172          | 0.7494   |
| 0.0463        | 11.0  | 693  | 0.4195          | 0.7495   |
| 0.0439        | 12.0  | 756  | 0.4228          | 0.7494   |
| 0.0427        | 13.0  | 819  | 0.4265          | 0.7493   |
| 0.0413        | 14.0  | 882  | 0.4270          | 0.7493   |
| 0.043         | 15.0  | 945  | 0.4288          | 0.7491   |
| 0.0418        | 16.0  | 1008 | 0.4317          | 0.7493   |
| 0.0422        | 17.0  | 1071 | 0.4351          | 0.7492   |
| 0.0433        | 18.0  | 1134 | 0.4336          | 0.7489   |
| 0.0417        | 19.0  | 1197 | 0.4362          | 0.7490   |
| 0.0392        | 20.0  | 1260 | 0.4386          | 0.7491   |


### 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_reciteonly_qa"], "metrics": ["accuracy"], "base_model": "tyzhu/lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl", "model-index": [{"name": "hotpot_train1000_eval500_v1_reciteonly_qa_tyzhu_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_reciteonly_qa", "type": "tyzhu/lmind_hotpot_train1000_eval500_v1_reciteonly_qa"}, "metrics": [{"type": "accuracy", "value": 0.7491208151382824, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval500_v1_reciteonly_qa base_model:tyzhu/lmind_hotpot_train1000_eval500_v1_docidx_gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us