metadata
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: bigscience/bloom-7b1
model-index:
- name: BLOOM_AAID_new_mixed_train_final_2
results: []
BLOOM_AAID_new_mixed_train_final_2
This model is a fine-tuned version of bigscience/bloom-7b1 on the AAID_new_mixed dataset. It achieves the following results on the evaluation set:
- Loss: 0.8316
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1275 | 0.0438 | 40 | 0.8731 |
| 0.5607 | 0.0875 | 80 | 0.9147 |
| 0.4772 | 0.1313 | 120 | 0.8467 |
| 0.4536 | 0.1750 | 160 | 0.8316 |
| 0.4388 | 0.2188 | 200 | 0.8364 |
| 0.4156 | 0.2625 | 240 | 0.8320 |
| 0.4083 | 0.3063 | 280 | 0.8594 |
| 0.397 | 0.3500 | 320 | 0.8598 |
| 0.3887 | 0.3938 | 360 | 0.8901 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1