metadata
license: other
base_model: JackFram/llama-68m
tags:
- generated_from_trainer
model-index:
- name: llama-68m-oasst_top1
results: []
llama-68m-oasst_top1
This model is a fine-tuned version of JackFram/llama-68m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7769
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9217 | 0.1 | 82 | 3.7769 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0