metadata
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: ybelkada/falcon-7b-sharded-bf16
model-index:
- name: falcon-7b-sharded-bf16-finetuned-html-code-generation
results: []
falcon-7b-sharded-bf16-finetuned-html-code-generation
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2923
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 320
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0699 | 0.18 | 20 | 1.7214 |
| 1.7563 | 0.36 | 40 | 1.3886 |
| 1.6152 | 0.54 | 60 | 1.3222 |
| 1.7419 | 0.72 | 80 | 1.2957 |
| 1.3596 | 0.9 | 100 | 1.2585 |
| 1.3861 | 1.08 | 120 | 1.2264 |
| 1.322 | 1.26 | 140 | 1.3842 |
| 1.2072 | 1.43 | 160 | 1.2038 |
| 1.1161 | 1.61 | 180 | 1.2392 |
| 1.1715 | 1.79 | 200 | 1.1981 |
| 1.3095 | 1.97 | 220 | 1.2134 |
| 0.9115 | 2.15 | 240 | 1.2422 |
| 0.7851 | 2.33 | 260 | 1.2923 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0