metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-abstracts-validation
results: []
fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-abstracts-validation
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the None dataset.
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use apollo_adamw with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 45
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9991 | 292 | 2.6292 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0