End of training

README.md

@@ -1,6 +1,10 @@
 ---
+language:
+- vi
 base_model: ylacombe/w2v-bert-2.0
 tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_16_0
 - generated_from_trainer
 datasets:
 - common_voice_16_0
@@ -13,11 +17,11 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_16_0
+      name: MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - VI
       type: common_voice_16_0
       config: vi
       split: test
-      args: vi
+      args: 'Config: vi, Training split: train+validation, Eval split: test'
     metrics:
     - name: Wer
       type: wer
@@ -29,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice-vi-demo
 
-This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the common_voice_16_0 dataset.
+This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - VI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.4074
+- Loss: 3.3958
 - Wer: 1.0
 
 ## Model description

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 14.92,
+    "eval_loss": 3.39578914642334,
+    "eval_runtime": 33.7358,
+    "eval_samples": 1326,
+    "eval_samples_per_second": 39.305,
+    "eval_steps_per_second": 4.921,
+    "eval_wer": 1.0,
+    "train_loss": 4.313969837535511,
+    "train_runtime": 3673.9724,
+    "train_samples": 2827,
+    "train_samples_per_second": 11.542,
+    "train_steps_per_second": 0.359
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 14.92,
+    "eval_loss": 3.39578914642334,
+    "eval_runtime": 33.7358,
+    "eval_samples": 1326,
+    "eval_samples_per_second": 39.305,
+    "eval_steps_per_second": 4.921,
+    "eval_wer": 1.0
+}

runs/Jan04_19-18-05_vorace/events.out.tfevents.1704399819.vorace.1372407.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eba3adc89ce209e45ccec0693f8aeddbe08979e70905a06132845c2c5be27bb7
+size 358

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 14.92,
+    "train_loss": 4.313969837535511,
+    "train_runtime": 3673.9724,
+    "train_samples": 2827,
+    "train_samples_per_second": 11.542,
+    "train_steps_per_second": 0.359
+}

trainer_state.json

@@ -0,0 +1,96 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 14.915254237288135,
+  "eval_steps": 200,
+  "global_step": 1320,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "epoch": 2.26,
+      "eval_loss": 3.592435359954834,
+      "eval_runtime": 87.4726,
+      "eval_samples_per_second": 15.159,
+      "eval_steps_per_second": 1.898,
+      "eval_wer": 1.0,
+      "step": 200
+    },
+    {
+      "epoch": 4.52,
+      "eval_loss": 3.494601249694824,
+      "eval_runtime": 91.8794,
+      "eval_samples_per_second": 14.432,
+      "eval_steps_per_second": 1.807,
+      "eval_wer": 1.0,
+      "step": 400
+    },
+    {
+      "epoch": 5.65,
+      "learning_rate": 0.001988,
+      "loss": 5.7152,
+      "step": 500
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+    {
+      "epoch": 6.78,
+      "eval_loss": 3.463015079498291,
+      "eval_runtime": 89.7613,
+      "eval_samples_per_second": 14.773,
+      "eval_steps_per_second": 1.849,
+      "eval_wer": 1.0,
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+      "eval_samples_per_second": 42.558,
+      "eval_steps_per_second": 5.328,
+      "eval_wer": 1.0,
+      "step": 800
+    },
+    {
+      "epoch": 11.3,
+      "learning_rate": 0.0007902439024390245,
+      "loss": 3.5048,
+      "step": 1000
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+    {
+      "epoch": 11.3,
+      "eval_loss": 3.4328794479370117,
+      "eval_runtime": 33.6159,
+      "eval_samples_per_second": 39.446,
+      "eval_steps_per_second": 4.938,
+      "eval_wer": 1.0,
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+    {
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+      "eval_runtime": 31.2641,
+      "eval_samples_per_second": 42.413,
+      "eval_steps_per_second": 5.31,
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+    {
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+      "total_flos": 5.202162859259014e+18,
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+      "train_samples_per_second": 11.542,
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+  "logging_steps": 500,
+  "max_steps": 1320,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 15,
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+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}