End of training

README.md

@@ -1,39 +1,42 @@
 ---
+language:
+- ml
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_16_0
+- mozilla-foundation/common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: breeze-dsw-tiny-ml
+- name: Breeze DSW Malayalam - tiny
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_16_0
-      type: common_voice_16_0
+      name: mozilla-foundation/common_voice_16_0 ml
+      type: mozilla-foundation/common_voice_16_0
       config: ml
       split: test
       args: ml
     metrics:
     - name: Wer
       type: wer
-      value: 55.097312326227986
+      value: 54.37442075996293
 ---
 
 <!-- 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. -->
 
-# breeze-dsw-tiny-ml
+# Breeze DSW Malayalam - tiny
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_16_0 dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_16_0 ml dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7383
-- Wer: 55.0973
+- Loss: 0.5503
+- Wer: 54.3744
 
 ## Model description
 

all_results.json

@@ -1,12 +1,12 @@
 {
     "epoch": 24.04,
     "eval_loss": 0.55029296875,
-    "eval_runtime": 737.2701,
+    "eval_runtime": 737.5779,
     "eval_samples_per_second": 0.899,
     "eval_steps_per_second": 0.057,
     "eval_wer": 54.37442075996293,
     "train_loss": 0.0,
-    "train_runtime": 27.3114,
-    "train_samples_per_second": 2343.344,
-    "train_steps_per_second": 73.229
+    "train_runtime": 26.9074,
+    "train_samples_per_second": 2378.53,
+    "train_steps_per_second": 74.329
 }

eval_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 24.04,
     "eval_loss": 0.55029296875,
-    "eval_runtime": 737.2701,
+    "eval_runtime": 737.5779,
     "eval_samples_per_second": 0.899,
     "eval_steps_per_second": 0.057,
     "eval_wer": 54.37442075996293

runs/Jan17_18-10-07_knight/events.out.tfevents.1705512232.knight.135045.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5847e2a60f4c522d1eba2e2a816c89d16df9d396776f5426d8375a7af9ffc6c
+size 406

train_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 24.04,
     "train_loss": 0.0,
-    "train_runtime": 27.3114,
-    "train_samples_per_second": 2343.344,
-    "train_steps_per_second": 73.229
+    "train_runtime": 26.9074,
+    "train_samples_per_second": 2378.53,
+    "train_steps_per_second": 74.329
 }

trainer_state.json

@@ -343,9 +343,9 @@
       "step": 1000,
       "total_flos": 7.730329851579597e+17,
       "train_loss": 0.0,
-      "train_runtime": 27.3114,
-      "train_samples_per_second": 2343.344,
-      "train_steps_per_second": 73.229
+      "train_runtime": 26.9074,
+      "train_samples_per_second": 2378.53,
+      "train_steps_per_second": 74.329
     }
   ],
   "logging_steps": 25,