End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: facebook/wav2vec2-xls-r-1b
 tags:
+- automatic-speech-recognition
+- BembaSpeech
 - generated_from_trainer
 metrics:
 - wer
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cicasote/huggingface/runs/4a183449)
 # xls-r-1b-bem-fsv
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the BEMBASPEECH - BEM dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2680
 - Wer: 0.8798

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 4.990403071017274,
+    "eval_loss": 0.26802200078964233,
+    "eval_runtime": 47.3898,
+    "eval_samples": 499,
+    "eval_samples_per_second": 10.53,
+    "eval_steps_per_second": 1.329,
+    "eval_wer": 0.8797595190380761,
+    "total_flos": 1.1936063667019008e+19,
+    "train_loss": 1.3302699947357177,
+    "train_runtime": 3428.0062,
+    "train_samples": 4163,
+    "train_samples_per_second": 6.072,
+    "train_steps_per_second": 0.379
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.990403071017274,
+    "eval_loss": 0.26802200078964233,
+    "eval_runtime": 47.3898,
+    "eval_samples": 499,
+    "eval_samples_per_second": 10.53,
+    "eval_steps_per_second": 1.329,
+    "eval_wer": 0.8797595190380761
+}

runs/Sep01_00-46-25_7b977e2c913a/events.out.tfevents.1725155320.7b977e2c913a.61687.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7fa7d2190736cd194a894682069e8eccbbdec0f2747cd8dfa04a1ed3eae2969d
+size 406

train_results.json

@@ -0,0 +1,9 @@
+{
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+    "total_flos": 1.1936063667019008e+19,
+    "train_loss": 1.3302699947357177,
+    "train_runtime": 3428.0062,
+    "train_samples": 4163,
+    "train_samples_per_second": 6.072,
+    "train_steps_per_second": 0.379
+}

trainer_state.json

@@ -0,0 +1,102 @@
+{
+  "best_metric": 0.26802200078964233,
+  "best_model_checkpoint": "./xls-r-1b-bem-fsv/checkpoint-1000",
+  "epoch": 4.990403071017274,
+  "eval_steps": 500,
+  "global_step": 1300,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 1.9e-05,
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+      "total_flos": 1.1936063667019008e+19,
+      "train_loss": 1.3302699947357177,
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+      "train_samples_per_second": 6.072,
+      "train_steps_per_second": 0.379
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+  ],
+  "logging_steps": 200,
+  "max_steps": 1300,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
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+  "trial_params": null
+}