metadata
license: other
tags:
- generated_from_trainer
model-index:
- name: alpaca-lora-13b-en-pt-es-ca-eu-gl-at
results: []
alpaca-lora-13b-en-pt-es-ca-eu-gl-at
This model is a fine-tuned version of decapoda-research/llama-13b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9967
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.303 | 0.04 | 100 | 1.2875 |
1.2153 | 0.07 | 200 | 1.2016 |
1.1584 | 0.11 | 300 | 1.1560 |
1.1426 | 0.15 | 400 | 1.1277 |
1.1198 | 0.18 | 500 | 1.1063 |
1.0631 | 0.22 | 600 | 1.0911 |
1.0714 | 0.26 | 700 | 1.0773 |
1.0505 | 0.29 | 800 | 1.0667 |
1.0475 | 0.33 | 900 | 1.0562 |
1.0411 | 0.37 | 1000 | 1.0485 |
1.0418 | 0.4 | 1100 | 1.0413 |
1.0419 | 0.44 | 1200 | 1.0339 |
1.0315 | 0.48 | 1300 | 1.0290 |
1.0235 | 0.51 | 1400 | 1.0238 |
1.0308 | 0.55 | 1500 | 1.0189 |
1.0039 | 0.59 | 1600 | 1.0157 |
1.0048 | 0.62 | 1700 | 1.0110 |
0.9982 | 0.66 | 1800 | 1.0080 |
1.0196 | 0.7 | 1900 | 1.0049 |
1.019 | 0.73 | 2000 | 1.0030 |
1.0037 | 0.77 | 2100 | 1.0009 |
1.0003 | 0.81 | 2200 | 0.9995 |
0.9942 | 0.84 | 2300 | 0.9982 |
0.9986 | 0.88 | 2400 | 0.9974 |
0.9987 | 0.92 | 2500 | 0.9969 |
0.9763 | 0.95 | 2600 | 0.9967 |
0.9733 | 0.99 | 2700 | 0.9967 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2