End of training

README.md

@@ -1,6 +1,10 @@
 ---
+language:
+- eo
 license: apache-2.0
 tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_13_0
 - generated_from_trainer
 datasets:
 - common_voice_13_0
@@ -13,15 +17,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_13_0
+      name: MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - EO
       type: common_voice_13_0
       config: eo
       split: validation
-      args: eo
+      args: 'Config: eo, Training split: train, Eval split: validation'
     metrics:
     - name: Wer
       type: wer
-      value: 0.06575168361283507
+      value: 0.06566915357190017
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,11 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice_13_0-eo-10
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - EO dataset.
 It achieves the following results on the evaluation set:
-- Cer: 0.0119
 - Loss: 0.0454
-- Wer: 0.0658
+- Cer: 0.0118
+- Wer: 0.0657
 
 ## Model description
 

all_results.json

@@ -1,15 +1,15 @@
 {
     "epoch": 5.0,
-    "eval_cer": 0.011829732593934161,
-    "eval_loss": 0.04534716159105301,
-    "eval_runtime": 1308.5745,
+    "eval_cer": 0.0118367415598033,
+    "eval_loss": 0.045377228409051895,
+    "eval_runtime": 1305.2819,
     "eval_samples": 14892,
-    "eval_samples_per_second": 11.38,
-    "eval_steps_per_second": 1.423,
-    "eval_wer": 0.0656526475637132,
-    "train_loss": 0.05346228662136532,
-    "train_runtime": 59652.5991,
+    "eval_samples_per_second": 11.409,
+    "eval_steps_per_second": 1.427,
+    "eval_wer": 0.06566915357190017,
+    "train_loss": 0.0023267049651522526,
+    "train_runtime": 2078.5155,
     "train_samples": 143849,
-    "train_samples_per_second": 12.057,
-    "train_steps_per_second": 0.377
+    "train_samples_per_second": 346.038,
+    "train_steps_per_second": 10.813
 }

eval_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 5.0,
-    "eval_cer": 0.011829732593934161,
-    "eval_loss": 0.04534716159105301,
-    "eval_runtime": 1308.5745,
+    "eval_cer": 0.0118367415598033,
+    "eval_loss": 0.045377228409051895,
+    "eval_runtime": 1305.2819,
     "eval_samples": 14892,
-    "eval_samples_per_second": 11.38,
-    "eval_steps_per_second": 1.423,
-    "eval_wer": 0.0656526475637132
+    "eval_samples_per_second": 11.409,
+    "eval_steps_per_second": 1.427,
+    "eval_wer": 0.06566915357190017
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 5.0,
-    "train_loss": 0.05346228662136532,
-    "train_runtime": 59652.5991,
+    "train_loss": 0.0023267049651522526,
+    "train_runtime": 2078.5155,
     "train_samples": 143849,
-    "train_samples_per_second": 12.057,
-    "train_steps_per_second": 0.377
+    "train_samples_per_second": 346.038,
+    "train_steps_per_second": 10.813
 }

trainer_state.json

@@ -1,7 +1,7 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 4.9996663329996665,
+  "epoch": 4.9998887776665555,
   "global_step": 22475,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
@@ -494,16 +494,16 @@
     {
       "epoch": 5.0,
       "step": 22475,
-      "total_flos": 1.3602266687003442e+20,
-      "train_loss": 0.05346228662136532,
-      "train_runtime": 59652.5991,
-      "train_samples_per_second": 12.057,
-      "train_steps_per_second": 0.377
+      "total_flos": 1.360184451953694e+20,
+      "train_loss": 0.0023267049651522526,
+      "train_runtime": 2078.5155,
+      "train_samples_per_second": 346.038,
+      "train_steps_per_second": 10.813
     }
   ],
   "max_steps": 22475,
   "num_train_epochs": 5,
-  "total_flos": 1.3602266687003442e+20,
+  "total_flos": 1.360184451953694e+20,
   "trial_name": null,
   "trial_params": null
 }