---
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_structured_train_final_last
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BLOOM_AAID_structured_train_final_last

This model is a fine-tuned version of [bigscience/bloom-7b1](https://huggingface.co/bigscience/bloom-7b1) on the AAID_structured dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8413

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.817         | 0.2188 | 200  | 0.8413          |
| 0.381         | 0.4375 | 400  | 0.8806          |
| 0.3025        | 0.6563 | 600  | 1.0179          |
| 0.1879        | 0.8750 | 800  | 1.1555          |
| 0.0744        | 1.0938 | 1000 | 1.2785          |
| 0.0231        | 1.3126 | 1200 | 1.3369          |


### Framework versions

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