metadata
base_model: almanach/camembert-base
datasets:
- dialogstudio
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: camemBERT-finetuned-dialogstudio
results: []
camemBERT-finetuned-dialogstudio
This model is a fine-tuned version of almanach/camembert-base on the dialogstudio dataset. It achieves the following results on the evaluation set:
- Loss: 13.6094
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 3
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1