full parameters fine-tine model
Collection
LLaMA-Factory badam
•
9 items
•
Updated
•
1
sft
This model is a fine-tuned version of NousResearch/Meta-Llama-3-8B-Instruct on the identity and the labor20240807 datasets. It achieves the following results on the evaluation set:
- Loss: 1.1235
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9225 | 3.6331 | 1000 | 1.1293 |
| 0.7145 | 7.2661 | 2000 | 1.1055 |
| 0.6401 | 10.8992 | 3000 | 1.1234 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 24
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for clinno/labor-llama3-8b-Instruct-20241002
Base model
NousResearch/Meta-Llama-3-8B-Instruct