End of training

README.md

@@ -7,33 +7,17 @@ tags:
 - generated_from_trainer
 datasets:
 - CIEMPIESS
-metrics:
-- wer
 model-index:
-- name: Whisper Small Spanish
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: CIEMPIESS
-      type: CIEMPIESS
-      args: 'config: spa, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.38445504655148455
+- name: Whisper Small Spanish CIEMPIESS Partition X
+  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 Small Spanish
+# Whisper Small Spanish CIEMPIESS Partition X
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the CIEMPIESS dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0152
-- Wer: 0.3845
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the CIEMPIESS Spansih data 11.0 dataset.
 
 ## Model description
 
@@ -58,29 +42,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 1000
+- lr_scheduler_warmup_steps: 50
+- training_steps: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer    |
-|:-------------:|:------:|:----:|:---------------:|:------:|
-| 0.2277        | 0.4484 | 100  | 0.2420          | 9.5187 |
-| 0.2788        | 0.8969 | 200  | 0.1965          | 7.9300 |
-| 0.1799        | 1.3453 | 300  | 0.1541          | 6.9804 |
-| 0.158         | 1.7937 | 400  | 0.1121          | 5.4762 |
-| 0.0926        | 2.2422 | 500  | 0.0810          | 4.1792 |
-| 0.0912        | 2.6906 | 600  | 0.0584          | 3.7438 |
-| 0.0451        | 3.1390 | 700  | 0.0364          | 2.4318 |
-| 0.0416        | 3.5874 | 800  | 0.0261          | 1.3271 |
-| 0.0312        | 4.0359 | 900  | 0.0178          | 0.4736 |
-| 0.015         | 4.4843 | 1000 | 0.0152          | 0.3845 |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -252,5 +252,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.40.2"
+  "transformers_version": "4.41.2"
 }

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training_args.bin

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