Merge branch 'main' of https://huggingface.co/agnesluhtaru/whisper-large-et-clinic

README.md

@@ -1,66 +0,0 @@
----
-license: apache-2.0
-tags:
-- generated_from_trainer
-metrics:
-- wer
-model-index:
-- name: whisper-large-et-clinic
-  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. -->
-
-# whisper-large-et-clinic
-
-This model is a fine-tuned version of [agnesluhtaru/whisper-large-et-ERR2020-v2](https://huggingface.co/agnesluhtaru/whisper-large-et-ERR2020-v2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3862
-- Wer: 15.5413
-
-## 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: 1e-05
-- train_batch_size: 2
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 16
-- total_train_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 200
-- training_steps: 2000
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0278        | 4.03  | 500  | 0.2986          | 16.9940 |
-| 0.0037        | 8.06  | 1000 | 0.3383          | 16.1774 |
-| 0.0017        | 12.1  | 1500 | 0.3619          | 15.8035 |
-| 0.0008        | 16.13 | 2000 | 0.3862          | 15.5413 |
-
-
-### Framework versions
-
-- Transformers 4.26.0.dev0
-- Pytorch 1.12.1+rocm5.1.1
-- Datasets 2.7.1.dev0
-- Tokenizers 0.13.2