llama3-1-ox-llms-8b-sft-only-germany-data-and-ultrafeedback
This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the oxford-llms/european_social_survey_2023_germany_sft and the oxford-llms/ultrachat_filtered datasets. It achieves the following results on the evaluation set:
- Loss: 1.0782
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.895 | 1.0 | 404 | 1.0630 |
| 0.6941 | 2.0 | 808 | 1.0782 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for IeBoytsov/llama3-1-ox-llms-8b-sft-only-germany-data-and-ultrafeedback
Base model
meta-llama/Llama-3.1-8B