llama-7b-finnish-instruct-v0.2_Fi__components_size_252_epochs_10_2024-06-21_09-35-06_3556544
This model is a fine-tuned version of Finnish-NLP/llama-7b-finnish-instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4970
- Accuracy: 0.77
- Chrf: 0.504
- Bleu: 0.417
- Sacrebleu: 0.4
- Rouge1: 0.566
- Rouge2: 0.386
- Rougel: 0.552
- Rougelsum: 0.554
- Meteor: 0.59
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: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 3407
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 252
- training_steps: 2520
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Chrf | Bleu | Sacrebleu | Rouge1 | Rouge2 | Rougel | Rougelsum | Meteor |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0.0297 | 4.0 | 252 | 1.3305 | 0.775 | 0.207 | 0.139 | 0.1 | 0.407 | 0.272 | 0.4 | 0.402 | 0.476 |
0.0414 | 8.0 | 504 | 0.9221 | 0.772 | 0.319 | 0.23 | 0.2 | 0.484 | 0.333 | 0.477 | 0.48 | 0.563 |
0.0472 | 12.0 | 756 | 0.8856 | 0.775 | 0.364 | 0.261 | 0.3 | 0.496 | 0.322 | 0.482 | 0.487 | 0.569 |
1.2941 | 16.0 | 1008 | 0.9528 | 0.772 | 0.349 | 0.265 | 0.3 | 0.479 | 0.327 | 0.471 | 0.474 | 0.552 |
0.1395 | 20.0 | 1260 | 0.8777 | 0.771 | 0.384 | 0.284 | 0.3 | 0.508 | 0.338 | 0.495 | 0.495 | 0.567 |
0.3282 | 24.0 | 1512 | 0.7412 | 0.771 | 0.403 | 0.312 | 0.3 | 0.514 | 0.336 | 0.504 | 0.508 | 0.568 |
0.0135 | 28.0 | 1764 | 0.7096 | 0.77 | 0.409 | 0.309 | 0.3 | 0.532 | 0.367 | 0.524 | 0.522 | 0.573 |
0.1001 | 32.0 | 2016 | 0.6087 | 0.77 | 0.451 | 0.362 | 0.4 | 0.544 | 0.373 | 0.529 | 0.53 | 0.578 |
0.0189 | 36.0 | 2268 | 0.5685 | 0.77 | 0.458 | 0.363 | 0.4 | 0.535 | 0.357 | 0.523 | 0.525 | 0.604 |
0.0168 | 40.0 | 2520 | 0.4970 | 0.77 | 0.504 | 0.417 | 0.4 | 0.566 | 0.386 | 0.552 | 0.554 | 0.59 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2
- Downloads last month
- 0
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 vdavidr/llama-7b-finnish-instruct-v0.2_Fi__components_size_252_epochs_10_2024-06-21_09-35-06_3556544
Base model
Finnish-NLP/llama-7b-finnish-instruct-v0.2
Finetuned
this model