metadata
license: other
base_model: JackFram/llama-68m
tags:
- generated_from_trainer
model-index:
- name: llama-68m-finetuned-wikitext2
results: []
llama-68m-finetuned-wikitext2
This model is a fine-tuned version of JackFram/llama-68m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0545
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: 2e-05
- 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: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 175 | 3.0891 |
No log | 2.0 | 350 | 3.0605 |
3.0721 | 3.0 | 525 | 3.0545 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0