End of training

README.md

@@ -1,40 +1,43 @@
 ---
 library_name: transformers
+language:
+- eu
 license: apache-2.0
 base_model: openai/whisper-large-v3
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_17_0
+- mozilla-foundation/common_voice_17_0
 metrics:
 - wer
 model-index:
-- name: openai/whisper-large-v3
+- name: Whisper Large-V3 Basque
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_17_0
-      type: common_voice_17_0
+      name: mozilla-foundation/common_voice_17_0 eu
+      type: mozilla-foundation/common_voice_17_0
       config: eu
       split: test
       args: eu
     metrics:
     - name: Wer
       type: wer
-      value: 6.456814100919785
+      value: 6.386272857195206
 ---
 
 <!-- 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. -->
 
-# openai/whisper-large-v3
+# Whisper Large-V3 Basque
 
-This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the common_voice_17_0 dataset.
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the mozilla-foundation/common_voice_17_0 eu dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2636
-- Wer: 6.4568
+- Loss: 0.2570
+- Wer: 6.3863
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 93.89671361502347,
+    "eval_loss": 0.2569582462310791,
+    "eval_runtime": 1505.4779,
+    "eval_samples_per_second": 9.054,
+    "eval_steps_per_second": 0.566,
+    "eval_wer": 6.386272857195206,
+    "total_flos": 8.69633179542356e+21,
+    "train_loss": 0.008657524782394285,
+    "train_runtime": 175644.1724,
+    "train_samples_per_second": 14.575,
+    "train_steps_per_second": 0.228
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 93.89671361502347,
+    "eval_loss": 0.2569582462310791,
+    "eval_runtime": 1505.4779,
+    "eval_samples_per_second": 9.054,
+    "eval_steps_per_second": 0.566,
+    "eval_wer": 6.386272857195206
+}

runs/May28_14-23-07_nej80nv-01113.itbatera.euskadi.eus/events.out.tfevents.1748612454.nej80nv-01113.itbatera.euskadi.eus

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa519bac6e2f25fb2b3cc8bf48253c4d8dd51fbe8825b94fb1c93ba8897254e4
+size 40

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 93.89671361502347,
+    "total_flos": 8.69633179542356e+21,
+    "train_loss": 0.008657524782394285,
+    "train_runtime": 175644.1724,
+    "train_samples_per_second": 14.575,
+    "train_steps_per_second": 0.228
+}