End of training

README.md

@@ -6,9 +6,24 @@ tags:
 - generated_from_trainer
 datasets:
 - common_voice_17_0
+metrics:
+- wer
 model-index:
 - name: result_data-1
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: uk
+      split: test
+      args: uk
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 # result_data-1
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 17.1658
+- Wer: 1.0
+- Cer: 1.2793
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 0.009099181073703366,
+    "eval_cer": 1.2793070127837098,
+    "eval_loss": 17.165815353393555,
+    "eval_runtime": 311.9128,
+    "eval_samples": 10011,
+    "eval_samples_per_second": 32.096,
+    "eval_steps_per_second": 1.003,
+    "eval_wer": 1.0,
+    "total_flos": 7.434959474550374e+16,
+    "train_loss": 15.143043518066406,
+    "train_runtime": 341.6489,
+    "train_samples": 35144,
+    "train_samples_per_second": 0.937,
+    "train_steps_per_second": 0.029
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 0.009099181073703366,
+    "eval_cer": 1.2793070127837098,
+    "eval_loss": 17.165815353393555,
+    "eval_runtime": 311.9128,
+    "eval_samples": 10011,
+    "eval_samples_per_second": 32.096,
+    "eval_steps_per_second": 1.003,
+    "eval_wer": 1.0
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.009099181073703366,
+    "total_flos": 7.434959474550374e+16,
+    "train_loss": 15.143043518066406,
+    "train_runtime": 341.6489,
+    "train_samples": 35144,
+    "train_samples_per_second": 0.937,
+    "train_steps_per_second": 0.029
+}

trainer_state.json

@@ -0,0 +1,52 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.009099181073703366,
+  "eval_steps": 6,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.00545950864422202,
+      "eval_cer": 1.3513553314545428,
+      "eval_loss": 17.2325439453125,
+      "eval_runtime": 317.8807,
+      "eval_samples_per_second": 31.493,
+      "eval_steps_per_second": 0.985,
+      "eval_wer": 1.0,
+      "step": 6
+    },
+    {
+      "epoch": 0.009099181073703366,
+      "step": 10,
+      "total_flos": 7.434959474550374e+16,
+      "train_loss": 15.143043518066406,
+      "train_runtime": 341.6489,
+      "train_samples_per_second": 0.937,
+      "train_steps_per_second": 0.029
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 10,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 2000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 7.434959474550374e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}