End of training

README.md

@@ -1,27 +1,27 @@
 ---
-base_model: openai/whisper-base
-datasets:
-- Oyounghyun/whisper_study_data
 language:
 - ko
 license: apache-2.0
+base_model: openai/whisper-base
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
+datasets:
+- Oyounghyun/whisper_study_data
 model-index:
-- name: study0627
+- name: study0702
   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. -->
 
-# study0627
+# study0702
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the train dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0686
-- Cer: 2.4264
+- Loss: 0.1707
+- Cer: 6.3423
 
 ## Model description
 
@@ -47,33 +47,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 10
-- training_steps: 2000
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Cer    |
-|:-------------:|:-------:|:----:|:---------------:|:------:|
-| 0.0599        | 1.9608  | 100  | 0.1089          | 4.6347 |
-| 0.01          | 3.9216  | 200  | 0.0720          | 2.4264 |
-| 0.0033        | 5.8824  | 300  | 0.0682          | 3.0807 |
-| 0.002         | 7.8431  | 400  | 0.0670          | 2.5627 |
-| 0.0014        | 9.8039  | 500  | 0.0667          | 2.6718 |
-| 0.0011        | 11.7647 | 600  | 0.0667          | 2.5082 |
-| 0.0009        | 13.7255 | 700  | 0.0668          | 2.7263 |
-| 0.0008        | 15.6863 | 800  | 0.0671          | 2.5082 |
-| 0.0007        | 17.6471 | 900  | 0.0674          | 2.5082 |
-| 0.0006        | 19.6078 | 1000 | 0.0675          | 2.6172 |
-| 0.0005        | 21.5686 | 1100 | 0.0675          | 2.5082 |
-| 0.0005        | 23.5294 | 1200 | 0.0676          | 2.3991 |
-| 0.0005        | 25.4902 | 1300 | 0.0679          | 2.3991 |
-| 0.0004        | 27.4510 | 1400 | 0.0682          | 2.4264 |
-| 0.0004        | 29.4118 | 1500 | 0.0682          | 2.4264 |
-| 0.0004        | 31.3725 | 1600 | 0.0684          | 2.4264 |
-| 0.0003        | 33.3333 | 1700 | 0.0684          | 2.4264 |
-| 0.0004        | 35.2941 | 1800 | 0.0685          | 2.4264 |
-| 0.0004        | 37.2549 | 1900 | 0.0685          | 2.4264 |
-| 0.0003        | 39.2157 | 2000 | 0.0686          | 2.4264 |
+| Training Loss | Epoch  | Step | Validation Loss | Cer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.2677        | 0.9615 | 100  | 0.2343          | 8.5421 |
+| 0.1167        | 1.9231 | 200  | 0.1853          | 7.1773 |
+| 0.0532        | 2.8846 | 300  | 0.1747          | 6.6635 |
+| 0.0284        | 3.8462 | 400  | 0.1718          | 6.7919 |
+| 0.0174        | 4.8077 | 500  | 0.1705          | 6.3423 |
+| 0.0081        | 5.7692 | 600  | 0.1689          | 5.9891 |
+| 0.0069        | 6.7308 | 700  | 0.1702          | 6.2781 |
+| 0.0053        | 7.6923 | 800  | 0.1702          | 6.5511 |
+| 0.0045        | 8.6538 | 900  | 0.1703          | 6.3263 |
+| 0.0048        | 9.6154 | 1000 | 0.1707          | 6.3423 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6cc838a1e9034ef43140c75e401d2a528be82a97e853c46b578a6a85b775822
+oid sha256:8241f9f849164bba31e179a85ff6302631096acf9d7a95646ca8545891762bed
 size 290403936

runs/Jul02_02-29-10_00cc00676c60/events.out.tfevents.1719887357.00cc00676c60.608.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ffc8be0ea1eeba94f0c1a0ce4242365950bb029655a32294e8d887fadf97c18b
-size 17266
+oid sha256:6215d5c7ba82a4ebe438f83ec258728b289bdac406f315bdde25c23d47f7dee1
+size 17620