---
library_name: transformers
license: apache-2.0
base_model: ai21labs/Jamba-tiny-dev
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- bitext/Bitext-combined-banking-wealth_management-mortgage_loans
model-index:
- name: BT-Jamba-tiny-dev-customer-support 
  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. -->

# BT-Jamba-tiny-dev-customer-support 

This model is a fine-tuned version of [ai21labs/Jamba-tiny-dev](https://huggingface.co/ai21labs/Jamba-tiny-dev) on the bitext/Bitext-combined-banking-wealth_management-mortgage_loans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5598

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6095        | 1.0   | 150  | 0.6130          |
| 0.5353        | 2.0   | 300  | 0.5674          |
| 0.4782        | 3.0   | 450  | 0.5598          |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1