END

README.md

@@ -0,0 +1,66 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: openai/whisper-large
+datasets:
+- common_voice_16_1
+metrics:
+- wer
+model-index:
+- name: whisper-large-lora-with-eoches
+  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-lora-with-eoches
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1163
+- Wer Ortho: 52.2403
+- Wer: 51.8898
+
+## 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: 16
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 15
+- training_steps: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 1.5137        | 0.2   | 50   | 2.1163          | 52.2403   | 51.8898 |
+
+
+### Framework versions
+
+- PEFT 0.11.2.dev0
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

runs/Jun02_14-11-21_6d8f420ae1e3/events.out.tfevents.1717337482.6d8f420ae1e3.1393.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:17f679e3e554c0524dbe5f5ab7303dda6d23a522520727d7d5047a634e20387f
-size 8209
+oid sha256:9caf1adf836d0de4cb6c7bf82ef7c60a8c6c5af76173bf256cdd5f4f4a8f106d
+size 8921