End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: openai/whisper-large-v3
+base_model: openai/whisper-large-v2
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper-large-Jibbali_lang
 
-This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0186
+- Loss: 0.0131
 
 ## Model description
 
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.0334        | 1.0   | 300  | 0.0509          |
-| 0.0078        | 2.0   | 600  | 0.0276          |
-| 0.0167        | 3.0   | 900  | 0.0309          |
-| 0.0026        | 4.0   | 1200 | 0.0266          |
-| 0.0058        | 5.0   | 1500 | 0.0186          |
-| 0.0059        | 6.0   | 1800 | 0.0199          |
-| 0.0039        | 7.0   | 2100 | 0.0194          |
-| 0.0013        | 8.0   | 2400 | 0.0190          |
-| 0.0007        | 9.0   | 2700 | 0.0185          |
-| 0.0015        | 10.0  | 3000 | 0.0186          |
+| 0.0224        | 1.0   | 300  | 0.0322          |
+| 0.0207        | 2.0   | 600  | 0.0389          |
+| 0.0243        | 3.0   | 900  | 0.0349          |
+| 0.0032        | 4.0   | 1200 | 0.0174          |
+| 0.0044        | 5.0   | 1500 | 0.0146          |
+| 0.0066        | 6.0   | 1800 | 0.0132          |
+| 0.0033        | 7.0   | 2100 | 0.0141          |
+| 0.0017        | 8.0   | 2400 | 0.0118          |
+| 0.0008        | 9.0   | 2700 | 0.0130          |
+| 0.0015        | 10.0  | 3000 | 0.0131          |
 
 
 ### Framework versions

adapter_config.json

@@ -4,7 +4,7 @@
     "base_model_class": "WhisperForConditionalGeneration",
     "parent_library": "transformers.models.whisper.modeling_whisper"
   },
-  "base_model_name_or_path": "openai/whisper-large-v3",
+  "base_model_name_or_path": "openai/whisper-large-v2",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a2bbd21c6ad8c2864859d2be1f735f4cd3b36a642aa874e8c55e4aee25269fbb
+oid sha256:3e3fb4a69bf224c8fecfb3cb1e777917971a622f1828303e3673853c1acb5c47
 size 62969640

preprocessor_config.json

@@ -1,7 +1,7 @@
 {
   "chunk_length": 30,
   "feature_extractor_type": "WhisperFeatureExtractor",
-  "feature_size": 128,
+  "feature_size": 80,
   "hop_length": 160,
   "n_fft": 400,
   "n_samples": 480000,

runs/Feb17_14-32-08_112e8143daad/events.out.tfevents.1708180329.112e8143daad.1134.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:686d88373a2cd339c5ca5cb2d0e392d9a0c3f37138dc3311a4b6dc418981d109
+size 27390

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a791eb8431f3aac70fd11e0cbf1ddc2ee77d3cced231ebdda7e35780c3064537
+oid sha256:22159ac9a3376a2bd252ae072606d400e3c4cf5f233f1d69c37d4e5eccdfb475
 size 4792