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# llama-68m-finetuned-wikitext2

This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9290

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 175  | 3.1817          |
| No log        | 2.0   | 350  | 3.2699          |
| 2.5169        | 3.0   | 525  | 3.4555          |
| 2.5169        | 4.0   | 700  | 3.6923          |
| 2.5169        | 5.0   | 875  | 3.9542          |
| 1.5624        | 6.0   | 1050 | 4.2089          |
| 1.5624        | 7.0   | 1225 | 4.4777          |
| 1.5624        | 8.0   | 1400 | 4.7426          |
| 0.841         | 9.0   | 1575 | 4.9898          |
| 0.841         | 10.0  | 1750 | 5.2385          |
| 0.841         | 11.0  | 1925 | 5.4648          |
| 0.3788        | 12.0  | 2100 | 5.6607          |
| 0.3788        | 13.0  | 2275 | 5.8074          |
| 0.3788        | 14.0  | 2450 | 5.8933          |
| 0.1474        | 15.0  | 2625 | 5.9290          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "JackFram/llama-68m", "model-index": [{"name": "llama-68m-finetuned-wikitext2", "results": []}]}
transformers tensorboard safetensors llama text-generation generated_from_trainer base_model:JackFram/llama-68m license:other autotrain_compatible endpoints_compatible text-generation-inference region:us