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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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