End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: facebook/wav2vec2-large-xlsr-53
 tags:
+- automatic-speech-recognition
+- DewiBrynJones/banc-trawsgrifiadau-bangor-normalized-with-ccv
 - generated_from_trainer
 metrics:
 - wer
@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xlsr-53-ft-btb-ccv-cy
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-NORMALIZED-WITH-CCV - DEFAULT dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4198
 - Wer: 0.3249

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 2.719665271966527,
+    "eval_loss": 0.41978269815444946,
+    "eval_runtime": 153.1864,
+    "eval_samples": 5656,
+    "eval_samples_per_second": 36.922,
+    "eval_steps_per_second": 4.615,
+    "eval_wer": 0.32485435958338016,
+    "total_flos": 1.0779565758702488e+19,
+    "train_loss": 1.1314451643136831,
+    "train_runtime": 7270.6329,
+    "train_samples": 30577,
+    "train_samples_per_second": 11.443,
+    "train_steps_per_second": 0.358
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 2.719665271966527,
+    "eval_loss": 0.41978269815444946,
+    "eval_runtime": 153.1864,
+    "eval_samples": 5656,
+    "eval_samples_per_second": 36.922,
+    "eval_steps_per_second": 4.615,
+    "eval_wer": 0.32485435958338016
+}

runs/May23_14-31-09_7571a1a6d5fc/events.out.tfevents.1716478842.7571a1a6d5fc.291.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e24ea2692342cbe322bc19555697b2e1aadef8df98e7c3f8ad925fd1944325a0
+size 406

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 2.719665271966527,
+    "total_flos": 1.0779565758702488e+19,
+    "train_loss": 1.1314451643136831,
+    "train_runtime": 7270.6329,
+    "train_samples": 30577,
+    "train_samples_per_second": 11.443,
+    "train_steps_per_second": 0.358
+}

trainer_state.json

@@ -0,0 +1,299 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.719665271966527,
+  "eval_steps": 100,
+  "global_step": 2600,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.10460251046025104,
+      "eval_loss": 3.505904197692871,
+      "eval_runtime": 155.3669,
+      "eval_samples_per_second": 36.404,
+      "eval_steps_per_second": 4.551,
+      "eval_wer": 1.0,
+      "step": 100
+    },
+    {
+      "epoch": 0.20920502092050208,
+      "eval_loss": 3.2686526775360107,
+      "eval_runtime": 151.6355,
+      "eval_samples_per_second": 37.3,
+      "eval_steps_per_second": 4.662,
+      "eval_wer": 1.0,
+      "step": 200
+    },
+    {
+      "epoch": 0.3138075313807531,
+      "eval_loss": 2.7369139194488525,
+      "eval_runtime": 151.6605,
+      "eval_samples_per_second": 37.294,
+      "eval_steps_per_second": 4.662,
+      "eval_wer": 1.0,
+      "step": 300
+    },
+    {
+      "epoch": 0.41841004184100417,
+      "eval_loss": 1.303921103477478,
+      "eval_runtime": 151.8516,
+      "eval_samples_per_second": 37.247,
+      "eval_steps_per_second": 4.656,
+      "eval_wer": 0.8544558745646836,
+      "step": 400
+    },
+    {
+      "epoch": 0.5230125523012552,
+      "grad_norm": 2.7574479579925537,
+      "learning_rate": 0.0002958,
+      "loss": 3.5426,
+      "step": 500
+    },
+    {
+      "epoch": 0.5230125523012552,
+      "eval_loss": 1.051817536354065,
+      "eval_runtime": 152.6837,
+      "eval_samples_per_second": 37.044,
+      "eval_steps_per_second": 4.63,
+      "eval_wer": 0.7738120075107124,
+      "step": 500
+    },
+    {
+      "epoch": 0.6276150627615062,
+      "eval_loss": 0.839580774307251,
+      "eval_runtime": 153.5079,
+      "eval_samples_per_second": 36.845,
+      "eval_steps_per_second": 4.606,
+      "eval_wer": 0.6148994559548073,
+      "step": 600
+    },
+    {
+      "epoch": 0.7322175732217573,
+      "eval_loss": 0.7548021674156189,
+      "eval_runtime": 152.4899,
+      "eval_samples_per_second": 37.091,
+      "eval_steps_per_second": 4.636,
+      "eval_wer": 0.5686636388438638,
+      "step": 700
+    },
+    {
+      "epoch": 0.8368200836820083,
+      "eval_loss": 0.6868751645088196,
+      "eval_runtime": 153.2403,
+      "eval_samples_per_second": 36.909,
+      "eval_steps_per_second": 4.614,
+      "eval_wer": 0.5185119802282101,
+      "step": 800
+    },
+    {
+      "epoch": 0.9414225941422594,
+      "eval_loss": 0.6501098871231079,
+      "eval_runtime": 152.6877,
+      "eval_samples_per_second": 37.043,
+      "eval_steps_per_second": 4.63,
+      "eval_wer": 0.4895283336810515,
+      "step": 900
+    },
+    {
+      "epoch": 1.0460251046025104,
+      "grad_norm": 1.2487365007400513,
+      "learning_rate": 0.00022957142857142856,
+      "loss": 0.7785,
+      "step": 1000
+    },
+    {
+      "epoch": 1.0460251046025104,
+      "eval_loss": 0.5817079544067383,
+      "eval_runtime": 153.4094,
+      "eval_samples_per_second": 36.869,
+      "eval_steps_per_second": 4.609,
+      "eval_wer": 0.4500649965495659,
+      "step": 1000
+    },
+    {
+      "epoch": 1.1506276150627615,
+      "eval_loss": 0.5646732449531555,
+      "eval_runtime": 152.9118,
+      "eval_samples_per_second": 36.989,
+      "eval_steps_per_second": 4.624,
+      "eval_wer": 0.4288006932965287,
+      "step": 1100
+    },
+    {
+      "epoch": 1.2552301255230125,
+      "eval_loss": 0.5424243807792664,
+      "eval_runtime": 152.6245,
+      "eval_samples_per_second": 37.058,
+      "eval_steps_per_second": 4.632,
+      "eval_wer": 0.42786987851262215,
+      "step": 1200
+    },
+    {
+      "epoch": 1.3598326359832635,
+      "eval_loss": 0.5264406800270081,
+      "eval_runtime": 153.2158,
+      "eval_samples_per_second": 36.915,
+      "eval_steps_per_second": 4.614,
+      "eval_wer": 0.4050809648376691,
+      "step": 1300
+    },
+    {
+      "epoch": 1.4644351464435146,
+      "eval_loss": 0.5098912715911865,
+      "eval_runtime": 153.9853,
+      "eval_samples_per_second": 36.731,
+      "eval_steps_per_second": 4.591,
+      "eval_wer": 0.3977467862817159,
+      "step": 1400
+    },
+    {
+      "epoch": 1.5690376569037658,
+      "grad_norm": 0.9644107222557068,
+      "learning_rate": 0.0001582857142857143,
+      "loss": 0.5795,
+      "step": 1500
+    },
+    {
+      "epoch": 1.5690376569037658,
+      "eval_loss": 0.5057937502861023,
+      "eval_runtime": 153.7283,
+      "eval_samples_per_second": 36.792,
+      "eval_steps_per_second": 4.599,
+      "eval_wer": 0.3952913610758935,
+      "step": 1500
+    },
+    {
+      "epoch": 1.6736401673640167,
+      "eval_loss": 0.48043006658554077,
+      "eval_runtime": 153.7864,
+      "eval_samples_per_second": 36.778,
+      "eval_steps_per_second": 4.597,
+      "eval_wer": 0.37892185970374415,
+      "step": 1600
+    },
+    {
+      "epoch": 1.778242677824268,
+      "eval_loss": 0.46723026037216187,
+      "eval_runtime": 153.9064,
+      "eval_samples_per_second": 36.75,
+      "eval_steps_per_second": 4.594,
+      "eval_wer": 0.3698062942337629,
+      "step": 1700
+    },
+    {
+      "epoch": 1.8828451882845187,
+      "eval_loss": 0.46052873134613037,
+      "eval_runtime": 153.9609,
+      "eval_samples_per_second": 36.737,
+      "eval_steps_per_second": 4.592,
+      "eval_wer": 0.3712185649403797,
+      "step": 1800
+    },
+    {
+      "epoch": 1.98744769874477,
+      "eval_loss": 0.4490562677383423,
+      "eval_runtime": 153.6441,
+      "eval_samples_per_second": 36.812,
+      "eval_steps_per_second": 4.602,
+      "eval_wer": 0.35561939304456675,
+      "step": 1900
+    },
+    {
+      "epoch": 2.092050209205021,
+      "grad_norm": 1.1409815549850464,
+      "learning_rate": 8.714285714285714e-05,
+      "loss": 0.5057,
+      "step": 2000
+    },
+    {
+      "epoch": 2.092050209205021,
+      "eval_loss": 0.44942042231559753,
+      "eval_runtime": 154.6428,
+      "eval_samples_per_second": 36.575,
+      "eval_steps_per_second": 4.572,
+      "eval_wer": 0.34534833336008086,
+      "step": 2000
+    },
+    {
+      "epoch": 2.196652719665272,
+      "eval_loss": 0.4431760907173157,
+      "eval_runtime": 154.0218,
+      "eval_samples_per_second": 36.722,
+      "eval_steps_per_second": 4.59,
+      "eval_wer": 0.3396832020028566,
+      "step": 2100
+    },
+    {
+      "epoch": 2.301255230125523,
+      "eval_loss": 0.43776625394821167,
+      "eval_runtime": 154.8082,
+      "eval_samples_per_second": 36.536,
+      "eval_steps_per_second": 4.567,
+      "eval_wer": 0.335061225144838,
+      "step": 2200
+    },
+    {
+      "epoch": 2.405857740585774,
+      "eval_loss": 0.42906874418258667,
+      "eval_runtime": 154.6416,
+      "eval_samples_per_second": 36.575,
+      "eval_steps_per_second": 4.572,
+      "eval_wer": 0.33104909245558567,
+      "step": 2300
+    },
+    {
+      "epoch": 2.510460251046025,
+      "eval_loss": 0.4279017746448517,
+      "eval_runtime": 154.5726,
+      "eval_samples_per_second": 36.591,
+      "eval_steps_per_second": 4.574,
+      "eval_wer": 0.3294281908491278,
+      "step": 2400
+    },
+    {
+      "epoch": 2.6150627615062763,
+      "grad_norm": 0.6568267345428467,
+      "learning_rate": 1.6e-05,
+      "loss": 0.3986,
+      "step": 2500
+    },
+    {
+      "epoch": 2.6150627615062763,
+      "eval_loss": 0.4233950078487396,
+      "eval_runtime": 154.8004,
+      "eval_samples_per_second": 36.537,
+      "eval_steps_per_second": 4.567,
+      "eval_wer": 0.3259456596748568,
+      "step": 2500
+    },
+    {
+      "epoch": 2.719665271966527,
+      "eval_loss": 0.41978269815444946,
+      "eval_runtime": 153.7416,
+      "eval_samples_per_second": 36.789,
+      "eval_steps_per_second": 4.599,
+      "eval_wer": 0.32485435958338016,
+      "step": 2600
+    },
+    {
+      "epoch": 2.719665271966527,
+      "step": 2600,
+      "total_flos": 1.0779565758702488e+19,
+      "train_loss": 1.1314451643136831,
+      "train_runtime": 7270.6329,
+      "train_samples_per_second": 11.443,
+      "train_steps_per_second": 0.358
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 2600,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 400,
+  "total_flos": 1.0779565758702488e+19,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}