End of training

README.md

@@ -11,7 +11,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper_Small_Ar500
+- name: Whisper_Small_Ar500d
   results:
   - task:
       name: Automatic Speech Recognition
@@ -20,24 +20,24 @@ model-index:
       name: Common Voice 17.0 Arabic
       type: mozilla-foundation/common_voice_17_0
       config: ar
-      split: test
+      split: validation
       args: 'config: ar, split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 31.59195596000449
+      value: 23.472893495603564
 ---
 
 <!-- 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_Ar500
+# Whisper_Small_Ar500d
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 Arabic dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4231
-- Wer Ortho: 55.4295
-- Wer: 31.5920
+- Loss: 0.2154
+- Wer Ortho: 40.5973
+- Wer: 23.4729
 
 ## Model description
 
@@ -60,7 +60,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
 - training_steps: 500
@@ -70,12 +70,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.3403        | 0.2059 | 500  | 0.4231          | 55.4295   | 31.5920 |
+| 0.2544        | 0.6002 | 500  | 0.2154          | 40.5973   | 23.4729 |
 
 
 ### Framework versions
 
-- Transformers 4.47.1
+- Transformers 4.45.2
 - Pytorch 2.5.1+cu121
 - Datasets 3.2.0
-- Tokenizers 0.21.0
+- Tokenizers 0.20.3

config.json

@@ -54,7 +54,7 @@
   "pad_token_id": 50257,
   "scale_embedding": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.47.1",
+  "transformers_version": "4.45.2",
   "use_cache": false,
   "use_weighted_layer_sum": false,
   "vocab_size": 51865

generation_config.json

@@ -258,5 +258,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.47.1"
+  "transformers_version": "4.45.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:c63df9cbbc3b87a0d942ba91fe489f05e54221150a14f1d5bc7335adae315ee5
 size 966995080

runs/Dec25_07-09-44_d72dab68fb48/events.out.tfevents.1735110587.d72dab68fb48.1011.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 11645

tokenizer_config.json

@@ -12980,7 +12980,6 @@
   "clean_up_tokenization_spaces": true,
   "eos_token": "<|endoftext|>",
   "errors": "replace",
-  "extra_special_tokens": {},
   "model_max_length": 1024,
   "pad_token": "<|endoftext|>",
   "processor_class": "WhisperProcessor",

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:55610bda710e3f58a977272800a47f1206693a63294eb2aa0ad30883897a51f0
-size 5496
+oid sha256:b456ca8f030d9888bcd6303bef3c8f9fc4dd911c70fa91b68fdb2e5352ed9ec2
+size 5368