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---
license: apache-2.0
library_name: peft
tags:
- trl-sft
- generated_from_trainer
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
model-index:
- name: tinyllama_lora_adcopy
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. -->
# tinyllama_lora_adcopy
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8992
## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9386 | 1.0 | 129 | 0.8662 |
| 0.7821 | 2.0 | 258 | 0.7954 |
| 0.5269 | 3.0 | 387 | 0.7621 |
| 0.4121 | 4.0 | 516 | 0.7183 |
| 0.2169 | 5.0 | 645 | 0.7358 |
| 0.1206 | 6.0 | 774 | 0.7757 |
| 0.057 | 7.0 | 903 | 0.8003 |
| 0.0291 | 8.0 | 1032 | 0.8342 |
| 0.0097 | 9.0 | 1161 | 0.8800 |
| 0.0077 | 10.0 | 1290 | 0.8992 |
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0 |