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# d_hotpot_train500_eval300_v1_reciteonly_qa_tyzhu_lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl

This model is a fine-tuned version of [tyzhu/lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl](https://huggingface.co/tyzhu/lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl) on the tyzhu/lmind_hotpot_train500_eval300_v1_reciteonly_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4380
- Accuracy: 0.7397

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4547        | 0.5   | 16   | 0.3752          | 0.7365   |
| 0.3867        | 1.0   | 32   | 0.3396          | 0.7408   |
| 0.2754        | 1.5   | 48   | 0.3472          | 0.7405   |
| 0.2517        | 2.0   | 64   | 0.3379          | 0.7409   |
| 0.1911        | 2.5   | 80   | 0.3580          | 0.7405   |
| 0.1822        | 3.0   | 96   | 0.3580          | 0.7405   |
| 0.1224        | 3.5   | 112  | 0.3813          | 0.7402   |
| 0.1268        | 4.0   | 128  | 0.3789          | 0.7404   |
| 0.0851        | 4.5   | 144  | 0.3999          | 0.7400   |
| 0.1061        | 5.0   | 160  | 0.4034          | 0.7399   |
| 0.0801        | 5.5   | 176  | 0.4185          | 0.7397   |
| 0.0716        | 6.0   | 192  | 0.4144          | 0.7397   |
| 0.0606        | 6.5   | 208  | 0.4286          | 0.7396   |
| 0.0676        | 7.0   | 224  | 0.4241          | 0.7398   |
| 0.0516        | 7.5   | 240  | 0.4348          | 0.7397   |
| 0.0604        | 8.0   | 256  | 0.4362          | 0.7396   |
| 0.0513        | 8.5   | 272  | 0.4280          | 0.7396   |
| 0.0519        | 9.0   | 288  | 0.4380          | 0.7397   |
| 0.0463        | 9.5   | 304  | 0.4424          | 0.7396   |
| 0.0465        | 10.0  | 320  | 0.4380          | 0.7397   |


### 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_train500_eval300_v1_reciteonly_qa"], "metrics": ["accuracy"], "base_model": "tyzhu/lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl", "model-index": [{"name": "d_hotpot_train500_eval300_v1_reciteonly_qa_tyzhu_lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train500_eval300_v1_reciteonly_qa", "type": "tyzhu/lmind_hotpot_train500_eval300_v1_reciteonly_qa"}, "metrics": [{"type": "accuracy", "value": 0.7396991751576905, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train500_eval300_v1_reciteonly_qa base_model:tyzhu/lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us