End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: facebook/wav2vec2-xls-r-1b
 tags:
+- automatic-speech-recognition
+- BembaSpeech
 - generated_from_trainer
 metrics:
 - wer
@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xls-r-1b-bem-sv-female
 
-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: 0.3307
-- Wer: 0.7996
+- Loss: 0.3019
+- Wer: 0.8036
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 4.995196926032661,
+    "eval_loss": 0.3019354045391083,
+    "eval_runtime": 62.8152,
+    "eval_samples": 499,
+    "eval_samples_per_second": 7.944,
+    "eval_steps_per_second": 1.99,
+    "eval_wer": 0.8036072144288577,
+    "total_flos": 1.1893077312531345e+19,
+    "train_loss": 0.49554201878034154,
+    "train_runtime": 6582.5135,
+    "train_samples": 4163,
+    "train_samples_per_second": 3.162,
+    "train_steps_per_second": 0.395
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.995196926032661,
+    "eval_loss": 0.3019354045391083,
+    "eval_runtime": 62.8152,
+    "eval_samples": 499,
+    "eval_samples_per_second": 7.944,
+    "eval_steps_per_second": 1.99,
+    "eval_wer": 0.8036072144288577
+}

runs/Aug30_23-09-01_d294c50f12a7/events.out.tfevents.1725066152.d294c50f12a7.14370.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3a2e33198d336c3e5666f0e925dd14ce7f223c39f2c329f66865ace89b84824
+size 406

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.995196926032661,
+    "total_flos": 1.1893077312531345e+19,
+    "train_loss": 0.49554201878034154,
+    "train_runtime": 6582.5135,
+    "train_samples": 4163,
+    "train_samples_per_second": 3.162,
+    "train_steps_per_second": 0.395
+}

trainer_state.json

@@ -0,0 +1,178 @@
+{
+  "best_metric": 0.3019354045391083,
+  "best_model_checkpoint": "./xls-r-1b-bem-sv-female/checkpoint-2000",
+  "epoch": 4.995196926032661,
+  "eval_steps": 500,
+  "global_step": 2600,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.38424591738712777,
+      "grad_norm": 4.829944610595703,
+      "learning_rate": 1.97e-05,
+      "loss": 4.4978,
+      "step": 200
+    },
+    {
+      "epoch": 0.7684918347742555,
+      "grad_norm": 6.936720848083496,
+      "learning_rate": 3.97e-05,
+      "loss": 0.6184,
+      "step": 400
+    },
+    {
+      "epoch": 0.9606147934678194,
+      "eval_loss": 0.5192012786865234,
+      "eval_runtime": 63.7121,
+      "eval_samples_per_second": 7.832,
+      "eval_steps_per_second": 1.962,
+      "eval_wer": 0.9458917835671342,
+      "step": 500
+    },
+    {
+      "epoch": 1.1527377521613833,
+      "grad_norm": 1.6504590511322021,
+      "learning_rate": 4.769047619047619e-05,
+      "loss": 0.2678,
+      "step": 600
+    },
+    {
+      "epoch": 1.536983669548511,
+      "grad_norm": 0.48046204447746277,
+      "learning_rate": 4.292857142857143e-05,
+      "loss": 0.2085,
+      "step": 800
+    },
+    {
+      "epoch": 1.9212295869356388,
+      "grad_norm": 1.0426075458526611,
+      "learning_rate": 3.816666666666667e-05,
+      "loss": 0.1841,
+      "step": 1000
+    },
+    {
+      "epoch": 1.9212295869356388,
+      "eval_loss": 0.33747053146362305,
+      "eval_runtime": 61.1182,
+      "eval_samples_per_second": 8.165,
+      "eval_steps_per_second": 2.045,
+      "eval_wer": 0.8396793587174348,
+      "step": 1000
+    },
+    {
+      "epoch": 2.3054755043227666,
+      "grad_norm": 0.9610881209373474,
+      "learning_rate": 3.3404761904761904e-05,
+      "loss": 0.141,
+      "step": 1200
+    },
+    {
+      "epoch": 2.689721421709894,
+      "grad_norm": 0.4008996784687042,
+      "learning_rate": 2.8642857142857144e-05,
+      "loss": 0.1244,
+      "step": 1400
+    },
+    {
+      "epoch": 2.881844380403458,
+      "eval_loss": 0.31584659218788147,
+      "eval_runtime": 61.6779,
+      "eval_samples_per_second": 8.09,
+      "eval_steps_per_second": 2.027,
+      "eval_wer": 0.8396793587174348,
+      "step": 1500
+    },
+    {
+      "epoch": 3.073967339097022,
+      "grad_norm": 0.6827730536460876,
+      "learning_rate": 2.3880952380952383e-05,
+      "loss": 0.1118,
+      "step": 1600
+    },
+    {
+      "epoch": 3.4582132564841497,
+      "grad_norm": 0.3247419595718384,
+      "learning_rate": 1.911904761904762e-05,
+      "loss": 0.079,
+      "step": 1800
+    },
+    {
+      "epoch": 3.8424591738712777,
+      "grad_norm": 0.5847994089126587,
+      "learning_rate": 1.4357142857142858e-05,
+      "loss": 0.0757,
+      "step": 2000
+    },
+    {
+      "epoch": 3.8424591738712777,
+      "eval_loss": 0.3019354045391083,
+      "eval_runtime": 61.5577,
+      "eval_samples_per_second": 8.106,
+      "eval_steps_per_second": 2.031,
+      "eval_wer": 0.8036072144288577,
+      "step": 2000
+    },
+    {
+      "epoch": 4.226705091258405,
+      "grad_norm": 0.3855469822883606,
+      "learning_rate": 9.595238095238096e-06,
+      "loss": 0.0553,
+      "step": 2200
+    },
+    {
+      "epoch": 4.610951008645533,
+      "grad_norm": 0.22909563779830933,
+      "learning_rate": 4.833333333333333e-06,
+      "loss": 0.0419,
+      "step": 2400
+    },
+    {
+      "epoch": 4.803073967339097,
+      "eval_loss": 0.33066290616989136,
+      "eval_runtime": 61.6863,
+      "eval_samples_per_second": 8.089,
+      "eval_steps_per_second": 2.026,
+      "eval_wer": 0.7995991983967936,
+      "step": 2500
+    },
+    {
+      "epoch": 4.995196926032661,
+      "grad_norm": 0.05295922979712486,
+      "learning_rate": 7.142857142857144e-08,
+      "loss": 0.0363,
+      "step": 2600
+    },
+    {
+      "epoch": 4.995196926032661,
+      "step": 2600,
+      "total_flos": 1.1893077312531345e+19,
+      "train_loss": 0.49554201878034154,
+      "train_runtime": 6582.5135,
+      "train_samples_per_second": 3.162,
+      "train_steps_per_second": 0.395
+    }
+  ],
+  "logging_steps": 200,
+  "max_steps": 2600,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.1893077312531345e+19,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}