End of training

README.md

@@ -1,22 +1,22 @@
 ---
-base_model: openai/whisper-large-v2
+base_model: openai/whisper-medium
 library_name: peft
 license: apache-2.0
 tags:
 - generated_from_trainer
 model-index:
-- name: whisper-large-v2-peft
+- name: whisper_medium_peft
   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-large-v2-peft
+# whisper_medium_peft
 
-This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the CFN Proposal Audio dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the CFN Proposal Audio dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3257
+- Loss: 0.3352
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.3738        | 1.0   | 191  | 0.3743          |
-| 0.2406        | 2.0   | 382  | 0.3242          |
-| 0.1474        | 3.0   | 573  | 0.3257          |
+| 0.3982        | 1.0   | 191  | 0.3951          |
+| 0.2585        | 2.0   | 382  | 0.3351          |
+| 0.1703        | 3.0   | 573  | 0.3352          |
 
 
 ### 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-v2",
+  "base_model_name_or_path": "openai/whisper-medium",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

adapter_model.safetensors

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+size 37789960

runs/Aug08_16-00-18_hal/events.out.tfevents.1723147336.hal.537292.0

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+size 11492

training_args.bin

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 size 5304