End of training

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the AAVE Speech Recognition CORAAL dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.5020
-- eval_wer: 50.4817
-- eval_runtime: 19.7007
-- eval_samples_per_second: 4.061
-- eval_steps_per_second: 0.508
-- epoch: 50.0
-- step: 2000
+- eval_loss: 2.0459
+- eval_model_preparation_time: 0.0027
+- eval_wer: 44.2024
+- eval_runtime: 19.1468
+- eval_samples_per_second: 4.178
+- eval_steps_per_second: 0.522
+- step: 0
 
 ## Model description
 
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.46.3
+- Transformers 4.47.0
 - Pytorch 2.5.1+cu121
 - Datasets 3.1.0
-- Tokenizers 0.20.3
+- Tokenizers 0.21.0

generation_config.json

@@ -246,5 +246,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.46.3"
+  "transformers_version": "4.47.0"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7ebd0e69e78190ffe1438491fa05cc1f5c1aa3a4c4db3bc1723adbb551ea2395
 size 151061672