| license: apache-2.0 | |
| tags: | |
| - minds14 | |
| - google/xtreme_s | |
| - generated_from_trainer | |
| datasets: | |
| - xtreme_s | |
| metrics: | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: xtreme_s_xlsr_minds14_upd | |
| 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. --> | |
| # xtreme_s_xlsr_minds14_upd | |
| This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the GOOGLE/XTREME_S - MINDS14.FR-FR dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.6303 | |
| - F1: 0.0223 | |
| - Accuracy: 0.0833 | |
| ## 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: 0.0003 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 2 | |
| - total_train_batch_size: 64 | |
| - total_eval_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 1 | |
| - num_epochs: 3.0 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.18.0.dev0 | |
| - Pytorch 1.10.2+cu113 | |
| - Datasets 1.18.4.dev0 | |
| - Tokenizers 0.11.6 | |