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: 2.6229
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 |
|---|---|---|---|
| 2.6424 | 1.0 | 28 | 2.6511 |
| 2.0848 | 2.0 | 56 | 2.6229 |
| 1.6167 | 3.0 | 84 | 2.6933 |
| 1.2396 | 4.0 | 112 | 2.7844 |
| 0.9479 | 5.0 | 140 | 2.9362 |
| 0.7107 | 6.0 | 168 | 3.1058 |
| 0.5153 | 7.0 | 196 | 3.2415 |
| 0.365 | 8.0 | 224 | 3.4350 |
| 0.2626 | 9.0 | 252 | 3.5395 |
| 0.2002 | 10.0 | 280 | 3.6335 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1