---
library_name: transformers
license: other
base_model: ai21labs/AI21-Jamba-1.5-Mini
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: Jamba-1.5-Mini-Full-FT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Jamba-1.5-Mini-Full-FT

This model is a fine-tuned version of [ai21labs/AI21-Jamba-1.5-Mini](https://huggingface.co/ai21labs/AI21-Jamba-1.5-Mini) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7744

## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 64
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.778         | 1.0   | 159  | 0.8063          |
| 0.7417        | 2.0   | 318  | 0.7769          |
| 0.7136        | 3.0   | 477  | 0.7744          |


### Framework versions

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