End of training

README.md

@@ -0,0 +1,64 @@
+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+model-index:
+- name: Whisper_e8eae673-8dea-4ce6-b9ac-7541bbcff1c8
+  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_e8eae673-8dea-4ce6-b9ac-7541bbcff1c8
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0833
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- training_steps: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.3764        | 10.0  | 10   | 2.3759          |
+| 0.7583        | 20.0  | 20   | 1.4695          |
+| 8.3335        | 30.0  | 30   | 6.5259          |
+| 6.1162        | 40.0  | 40   | 3.0373          |
+| 0.468         | 50.0  | 50   | 2.0833          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0d9efccaf4e3468880492c3d4b43f1914b7044ae7e507757fd113c76f19948d6
+oid sha256:7828797d9f74c217cf24630277ef2bf6135f36609b32e2b8c6c32ad2bfe1aeb8
 size 63056714