metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: hishab/titulm-1b-bn-v1
datasets:
- crosssum
model-index:
- name: llm_bn_sum
results: []
llm_bn_sum
This model is a fine-tuned version of hishab/titulm-1b-bn-v1 on the crosssum dataset. It achieves the following results on the evaluation set:
- Loss: nan
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 2023 | nan |
| 0.0 | 2.0 | 4046 | nan |
| 0.0 | 3.0 | 6069 | nan |
| 0.0 | 4.0 | 8092 | nan |
| 0.0 | 5.0 | 10115 | nan |
| 0.0 | 6.0 | 12138 | nan |
| 0.0 | 7.0 | 14161 | nan |
| 0.0 | 8.0 | 16184 | nan |
| 0.0 | 9.0 | 18207 | nan |
| 0.0 | 10.0 | 20230 | nan |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.1.0
- Tokenizers 0.15.2