---
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
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# BLOOM_AAID_new_mixed_train_final

This model is a fine-tuned version of [bigscience/bloom-7b1](https://huggingface.co/bigscience/bloom-7b1) on the AAID_new_mixed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8218

## 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
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.6811        | 0.0109 | 10   | 0.9062          |
| 0.6248        | 0.0219 | 20   | 0.8812          |
| 0.5466        | 0.0328 | 30   | 0.8907          |
| 0.5591        | 0.0438 | 40   | 0.8906          |
| 0.5318        | 0.0547 | 50   | 0.8626          |
| 0.496         | 0.0656 | 60   | 0.8501          |
| 0.4855        | 0.0766 | 70   | 0.8277          |
| 0.4746        | 0.0875 | 80   | 0.8741          |
| 0.4846        | 0.0984 | 90   | 0.8444          |
| 0.4424        | 0.1094 | 100  | 0.8439          |
| 0.4514        | 0.1203 | 110  | 0.8324          |
| 0.4485        | 0.1313 | 120  | 0.8640          |
| 0.443         | 0.1422 | 130  | 0.8538          |
| 0.4316        | 0.1531 | 140  | 0.8262          |
| 0.4435        | 0.1641 | 150  | 0.8554          |
| 0.4269        | 0.1750 | 160  | 0.8362          |
| 0.4322        | 0.1859 | 170  | 0.8331          |
| 0.4136        | 0.1969 | 180  | 0.8500          |
| 0.4262        | 0.2078 | 190  | 0.8315          |
| 0.4283        | 0.2188 | 200  | 0.8358          |
| 0.3983        | 0.2297 | 210  | 0.8218          |
| 0.409         | 0.2406 | 220  | 0.8272          |
| 0.4173        | 0.2516 | 230  | 0.8558          |
| 0.3847        | 0.2625 | 240  | 0.8390          |
| 0.3923        | 0.2734 | 250  | 0.8554          |
| 0.4014        | 0.2844 | 260  | 0.8534          |
| 0.3967        | 0.2953 | 270  | 0.8450          |
| 0.3936        | 0.3063 | 280  | 0.8424          |
| 0.3816        | 0.3172 | 290  | 0.8733          |
| 0.3852        | 0.3281 | 300  | 0.8514          |
| 0.379         | 0.3391 | 310  | 0.8549          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1