metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: ericzzz/falcon-rw-1b-instruct-openorca
model-index:
- name: falcon-rw-1b-instruct-openorca-retrained_network_corpus
results: []
falcon-rw-1b-instruct-openorca-retrained_network_corpus
This model is a fine-tuned version of ericzzz/falcon-rw-1b-instruct-openorca on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6185
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6649 | 1.0 | 28 | 2.5872 |
| 2.0983 | 2.0 | 56 | 2.5236 |
| 1.6296 | 3.0 | 84 | 2.5791 |
| 1.2573 | 4.0 | 112 | 2.6976 |
| 0.9665 | 5.0 | 140 | 2.8468 |
| 0.7261 | 6.0 | 168 | 2.9899 |
| 0.5295 | 7.0 | 196 | 3.1940 |
| 0.38 | 8.0 | 224 | 3.3579 |
| 0.2729 | 9.0 | 252 | 3.5245 |
| 0.208 | 10.0 | 280 | 3.6185 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1