--- license: apache-2.0 base_model: openlm-research/open_llama_3b_v2 tags: - generated_from_trainer - finetune - oasst - basque - euskara - euskera - llama - openllama - axolotl - chat model-index: - name: data/openllama-3b-basque results: [] datasets: - xezpeleta/oasst1_eu_threads language: - eu --- # data/openllama-3b-basque This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the [xezpeleta/oasst1_eu_threads](https://huggingface.co/datasets/xezpeleta/oasst1_eu_threads) dataset. It achieves the following results on the evaluation set: - Loss: 2.1151 ## 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: 3e-06 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 20 - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 3.4011 | 0.0 | 1 | 3.5208 | | 2.4173 | 0.25 | 917 | 2.6480 | | 2.4849 | 0.5 | 1834 | 2.4465 | | 2.2639 | 0.75 | 2751 | 2.3302 | | 2.4403 | 1.0 | 3668 | 2.2548 | | 2.1016 | 1.23 | 4585 | 2.2111 | | 2.0178 | 1.48 | 5502 | 2.1805 | | 2.041 | 1.73 | 6419 | 2.1476 | | 2.0026 | 1.98 | 7336 | 2.1347 | | 1.7586 | 2.22 | 8253 | 2.1187 | | 1.8564 | 2.47 | 9170 | 2.1191 | | 1.766 | 2.72 | 10087 | 2.1147 | | 2.0431 | 2.97 | 11004 | 2.1157 | | 2.3418 | 3.2 | 11921 | 2.1147 | | 1.9713 | 3.45 | 12838 | 2.1151 | | 1.9072 | 3.7 | 13755 | 2.1151 | ### Framework versions - Transformers 4.37.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.16.1 - Tokenizers 0.15.0