End of training

README.md

@@ -4,7 +4,7 @@ base_model: openai/whisper-large-v3
 tags:
 - generated_from_trainer
 datasets:
-- common_voice_18_0
+- fsicoli/common_voice_18_0
 metrics:
 - wer
 model-index:
@@ -14,8 +14,8 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_18_0
-      type: common_voice_18_0
+      name: fsicoli/common_voice_18_0 pt
+      type: fsicoli/common_voice_18_0
       config: pt
       split: None
       args: pt
@@ -30,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-large-v3-pt-3000h-3
 
-This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the common_voice_18_0 dataset.
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the fsicoli/common_voice_18_0 pt dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1478
 - Wer: 0.1017

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 1.999819135467535,
+    "eval_loss": 0.14780554175376892,
+    "eval_runtime": 18406.7999,
+    "eval_samples": 9494,
+    "eval_samples_per_second": 0.516,
+    "eval_steps_per_second": 0.516,
+    "eval_wer": 0.10174567584881486,
+    "total_flos": 1.5025096510930944e+20,
+    "train_loss": 0.029662437230219198,
+    "train_runtime": 33102.9931,
+    "train_samples": 22116,
+    "train_samples_per_second": 1.336,
+    "train_steps_per_second": 0.042
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.999819135467535,
+    "eval_loss": 0.14780554175376892,
+    "eval_runtime": 18406.7999,
+    "eval_samples": 9494,
+    "eval_samples_per_second": 0.516,
+    "eval_steps_per_second": 0.516,
+    "eval_wer": 0.10174567584881486
+}

runs/Aug16_13-47-41_DITEC2014063010/events.out.tfevents.1723878795.DITEC2014063010.252748.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:262abda9ce2e2f65790b6ebf5340ca735b8696d50a3adc20805ce442133988ee
+size 406

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.999819135467535,
+    "total_flos": 1.5025096510930944e+20,
+    "train_loss": 0.029662437230219198,
+    "train_runtime": 33102.9931,
+    "train_samples": 22116,
+    "train_samples_per_second": 1.336,
+    "train_steps_per_second": 0.042
+}

trainer_state.json

@@ -0,0 +1,445 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.999819135467535,
+  "eval_steps": 500,
+  "global_step": 1382,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.03617290649303671,
+      "grad_norm": 5.598344326019287,
+      "learning_rate": 1.0000000000000001e-07,
+      "loss": 0.8052,
+      "step": 25
+    },
+    {
+      "epoch": 0.07234581298607343,
+      "grad_norm": 15.454778671264648,
+      "learning_rate": 2.0000000000000002e-07,
+      "loss": 1.3834,
+      "step": 50
+    },
+    {
+      "epoch": 0.10851871947911014,
+      "grad_norm": 6.023103713989258,
+      "learning_rate": 3.0000000000000004e-07,
+      "loss": 0.6989,
+      "step": 75
+    },
+    {
+      "epoch": 0.14469162597214685,
+      "grad_norm": 14.213159561157227,
+      "learning_rate": 4.0000000000000003e-07,
+      "loss": 0.8097,
+      "step": 100
+    },
+    {
+      "epoch": 0.18086453246518358,
+      "grad_norm": 3.366466999053955,
+      "learning_rate": 5.000000000000001e-07,
+      "loss": 0.2367,
+      "step": 125
+    },
+    {
+      "epoch": 0.21703743895822028,
+      "grad_norm": 15.736528396606445,
+      "learning_rate": 6.000000000000001e-07,
+      "loss": 0.3249,
+      "step": 150
+    },
+    {
+      "epoch": 0.25321034545125704,
+      "grad_norm": 2.5983786582946777,
+      "learning_rate": 7.000000000000001e-07,
+      "loss": 0.1757,
+      "step": 175
+    },
+    {
+      "epoch": 0.2893832519442937,
+      "grad_norm": 10.108122825622559,
+      "learning_rate": 8.000000000000001e-07,
+      "loss": 0.2398,
+      "step": 200
+    },
+    {
+      "epoch": 0.32555615843733043,
+      "grad_norm": 2.5293455123901367,
+      "learning_rate": 9.000000000000001e-07,
+      "loss": 0.1667,
+      "step": 225
+    },
+    {
+      "epoch": 0.36172906493036716,
+      "grad_norm": 9.013643264770508,
+      "learning_rate": 1.0000000000000002e-06,
+      "loss": 0.22,
+      "step": 250
+    },
+    {
+      "epoch": 0.3979019714234039,
+      "grad_norm": 3.5457277297973633,
+      "learning_rate": 1.1e-06,
+      "loss": 0.168,
+      "step": 275
+    },
+    {
+      "epoch": 0.43407487791644056,
+      "grad_norm": 6.44632625579834,
+      "learning_rate": 1.2000000000000002e-06,
+      "loss": 0.2021,
+      "step": 300
+    },
+    {
+      "epoch": 0.4702477844094773,
+      "grad_norm": 2.5131373405456543,
+      "learning_rate": 1.3e-06,
+      "loss": 0.1573,
+      "step": 325
+    },
+    {
+      "epoch": 0.5064206909025141,
+      "grad_norm": 10.056652069091797,
+      "learning_rate": 1.4000000000000001e-06,
+      "loss": 0.1839,
+      "step": 350
+    },
+    {
+      "epoch": 0.5425935973955507,
+      "grad_norm": 1.9256174564361572,
+      "learning_rate": 1.5e-06,
+      "loss": 0.1432,
+      "step": 375
+    },
+    {
+      "epoch": 0.5787665038885874,
+      "grad_norm": 5.919682025909424,
+      "learning_rate": 1.6000000000000001e-06,
+      "loss": 0.178,
+      "step": 400
+    },
+    {
+      "epoch": 0.6149394103816241,
+      "grad_norm": 2.477151393890381,
+      "learning_rate": 1.7000000000000002e-06,
+      "loss": 0.1377,
+      "step": 425
+    },
+    {
+      "epoch": 0.6511123168746609,
+      "grad_norm": 6.950107097625732,
+      "learning_rate": 1.8000000000000001e-06,
+      "loss": 0.1865,
+      "step": 450
+    },
+    {
+      "epoch": 0.6872852233676976,
+      "grad_norm": 2.580976963043213,
+      "learning_rate": 1.9000000000000002e-06,
+      "loss": 0.1296,
+      "step": 475
+    },
+    {
+      "epoch": 0.7234581298607343,
+      "grad_norm": 6.907202243804932,
+      "learning_rate": 2.0000000000000003e-06,
+      "loss": 0.1769,
+      "step": 500
+    },
+    {
+      "epoch": 0.759631036353771,
+      "grad_norm": 2.5415403842926025,
+      "learning_rate": 2.1000000000000002e-06,
+      "loss": 0.1345,
+      "step": 525
+    },
+    {
+      "epoch": 0.7958039428468078,
+      "grad_norm": 8.191935539245605,
+      "learning_rate": 2.2e-06,
+      "loss": 0.1727,
+      "step": 550
+    },
+    {
+      "epoch": 0.8319768493398445,
+      "grad_norm": 4.426870822906494,
+      "learning_rate": 2.3000000000000004e-06,
+      "loss": 0.1267,
+      "step": 575
+    },
+    {
+      "epoch": 0.8681497558328811,
+      "grad_norm": 5.906033515930176,
+      "learning_rate": 2.4000000000000003e-06,
+      "loss": 0.1617,
+      "step": 600
+    },
+    {
+      "epoch": 0.9043226623259178,
+      "grad_norm": 2.5345969200134277,
+      "learning_rate": 2.5e-06,
+      "loss": 0.1444,
+      "step": 625
+    },
+    {
+      "epoch": 0.9404955688189546,
+      "grad_norm": 5.994137287139893,
+      "learning_rate": 2.6e-06,
+      "loss": 0.1766,
+      "step": 650
+    },
+    {
+      "epoch": 0.9766684753119913,
+      "grad_norm": 3.034348249435425,
+      "learning_rate": 2.7000000000000004e-06,
+      "loss": 0.13,
+      "step": 675
+    },
+    {
+      "epoch": 0.9998191354675349,
+      "eval_loss": 0.1486499309539795,
+      "eval_runtime": 18037.1186,
+      "eval_samples_per_second": 0.526,
+      "eval_steps_per_second": 0.526,
+      "eval_wer": 0.10366752081998719,
+      "step": 691
+    },
+    {
+      "epoch": 1.0128413818050281,
+      "grad_norm": 2.1960830688476562,
+      "learning_rate": 2.8000000000000003e-06,
+      "loss": 0.1467,
+      "step": 700
+    },
+    {
+      "epoch": 1.0490142882980646,
+      "grad_norm": 2.957355260848999,
+      "learning_rate": 2.9e-06,
+      "loss": 0.1113,
+      "step": 725
+    },
+    {
+      "epoch": 1.0851871947911014,
+      "grad_norm": 1.6470922231674194,
+      "learning_rate": 3e-06,
+      "loss": 0.1469,
+      "step": 750
+    },
+    {
+      "epoch": 1.121360101284138,
+      "grad_norm": 3.09590220451355,
+      "learning_rate": 3.1000000000000004e-06,
+      "loss": 0.1034,
+      "step": 775
+    },
+    {
+      "epoch": 1.1575330077771748,
+      "grad_norm": 2.3706791400909424,
+      "learning_rate": 3.2000000000000003e-06,
+      "loss": 0.1463,
+      "step": 800
+    },
+    {
+      "epoch": 1.1937059142702116,
+      "grad_norm": 1.995174765586853,
+      "learning_rate": 3.3000000000000006e-06,
+      "loss": 0.1004,
+      "step": 825
+    },
+    {
+      "epoch": 1.2298788207632483,
+      "grad_norm": 1.665616750717163,
+      "learning_rate": 3.4000000000000005e-06,
+      "loss": 0.1297,
+      "step": 850
+    },
+    {
+      "epoch": 1.266051727256285,
+      "grad_norm": 2.44356369972229,
+      "learning_rate": 3.5e-06,
+      "loss": 0.1112,
+      "step": 875
+    },
+    {
+      "epoch": 1.3022246337493217,
+      "grad_norm": 1.8907896280288696,
+      "learning_rate": 3.6000000000000003e-06,
+      "loss": 0.1379,
+      "step": 900
+    },
+    {
+      "epoch": 1.3383975402423585,
+      "grad_norm": 2.632768154144287,
+      "learning_rate": 3.7e-06,
+      "loss": 0.1011,
+      "step": 925
+    },
+    {
+      "epoch": 1.3745704467353952,
+      "grad_norm": 1.6871304512023926,
+      "learning_rate": 3.8000000000000005e-06,
+      "loss": 0.133,
+      "step": 950
+    },
+    {
+      "epoch": 1.410743353228432,
+      "grad_norm": 2.9852051734924316,
+      "learning_rate": 3.900000000000001e-06,
+      "loss": 0.1126,
+      "step": 975
+    },
+    {
+      "epoch": 1.4469162597214686,
+      "grad_norm": 2.0160508155822754,
+      "learning_rate": 4.000000000000001e-06,
+      "loss": 0.1361,
+      "step": 1000
+    },
+    {
+      "epoch": 1.4832700307469704,
+      "grad_norm": 2.4528961181640625,
+      "learning_rate": 9.345549738219896e-06,
+      "loss": 0.1073,
+      "step": 1025
+    },
+    {
+      "epoch": 1.5194429372400071,
+      "grad_norm": 3.373425006866455,
+      "learning_rate": 8.691099476439791e-06,
+      "loss": 0.1388,
+      "step": 1050
+    },
+    {
+      "epoch": 1.5556158437330438,
+      "grad_norm": 2.545165538787842,
+      "learning_rate": 8.036649214659686e-06,
+      "loss": 0.1101,
+      "step": 1075
+    },
+    {
+      "epoch": 1.5917887502260806,
+      "grad_norm": 1.6243386268615723,
+      "learning_rate": 7.382198952879581e-06,
+      "loss": 0.1339,
+      "step": 1100
+    },
+    {
+      "epoch": 1.6279616567191173,
+      "grad_norm": 3.5856447219848633,
+      "learning_rate": 6.727748691099477e-06,
+      "loss": 0.1069,
+      "step": 1125
+    },
+    {
+      "epoch": 1.664134563212154,
+      "grad_norm": 1.4985790252685547,
+      "learning_rate": 6.073298429319372e-06,
+      "loss": 0.1331,
+      "step": 1150
+    },
+    {
+      "epoch": 1.7003074697051908,
+      "grad_norm": 3.4537761211395264,
+      "learning_rate": 5.418848167539268e-06,
+      "loss": 0.0903,
+      "step": 1175
+    },
+    {
+      "epoch": 1.7364803761982275,
+      "grad_norm": 2.7335891723632812,
+      "learning_rate": 4.764397905759163e-06,
+      "loss": 0.1207,
+      "step": 1200
+    },
+    {
+      "epoch": 1.7726532826912642,
+      "grad_norm": 2.135629892349243,
+      "learning_rate": 4.109947643979058e-06,
+      "loss": 0.0948,
+      "step": 1225
+    },
+    {
+      "epoch": 1.808826189184301,
+      "grad_norm": 1.6300333738327026,
+      "learning_rate": 3.455497382198953e-06,
+      "loss": 0.1099,
+      "step": 1250
+    },
+    {
+      "epoch": 1.8449990956773377,
+      "grad_norm": 2.582153797149658,
+      "learning_rate": 2.8010471204188483e-06,
+      "loss": 0.0896,
+      "step": 1275
+    },
+    {
+      "epoch": 1.8811720021703744,
+      "grad_norm": 1.5254755020141602,
+      "learning_rate": 2.1465968586387435e-06,
+      "loss": 0.0942,
+      "step": 1300
+    },
+    {
+      "epoch": 1.9173449086634111,
+      "grad_norm": 3.2325875759124756,
+      "learning_rate": 1.4921465968586387e-06,
+      "loss": 0.0932,
+      "step": 1325
+    },
+    {
+      "epoch": 1.9535178151564478,
+      "grad_norm": 1.1424560546875,
+      "learning_rate": 8.376963350785341e-07,
+      "loss": 0.1005,
+      "step": 1350
+    },
+    {
+      "epoch": 1.9896907216494846,
+      "grad_norm": 3.229748010635376,
+      "learning_rate": 1.8324607329842932e-07,
+      "loss": 0.0844,
+      "step": 1375
+    },
+    {
+      "epoch": 1.999819135467535,
+      "eval_loss": 0.14780554175376892,
+      "eval_runtime": 18259.5061,
+      "eval_samples_per_second": 0.52,
+      "eval_steps_per_second": 0.52,
+      "eval_wer": 0.10174567584881486,
+      "step": 1382
+    },
+    {
+      "epoch": 1.999819135467535,
+      "step": 1382,
+      "total_flos": 1.5025096510930944e+20,
+      "train_loss": 0.029662437230219198,
+      "train_runtime": 33102.9931,
+      "train_samples_per_second": 1.336,
+      "train_steps_per_second": 0.042
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 1382,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "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": 1.5025096510930944e+20,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}