Model save

README.md

@@ -1,4 +1,5 @@
 ---
+base_model: ylacombe/w2v-bert-2.0
 tags:
 - generated_from_trainer
 datasets:
@@ -13,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice-af-demo
 
-This model was trained from scratch on the common_voice_16_0 dataset.
+This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the common_voice_16_0 dataset.
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 15.0,
+    "eval_loss": Infinity,
+    "eval_runtime": 1.2872,
+    "eval_samples": 28,
+    "eval_samples_per_second": 21.753,
+    "eval_steps_per_second": 3.108,
+    "eval_wer": 1.0,
+    "train_loss": 0.0,
+    "train_runtime": 86.8732,
+    "train_samples": 58,
+    "train_samples_per_second": 10.015,
+    "train_steps_per_second": 0.345
+}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/home/yoach/tmp/wav2vec_seamless",
+  "_name_or_path": "ylacombe/w2v-bert-2.0",
   "activation_dropout": 0.0,
   "adapter_kernel_size": 3,
   "adapter_stride": 2,

emissions.csv

@@ -1,2 +1,3 @@
 timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
 2024-01-01T15:21:31,ec6bfdc1-9b67-4d1a-a0fa-b70b3193b238,codecarbon,88.12444925308228,0.003465083577686595,0.008161127492751757,France,FRA,île-de-france,N,,
+2024-01-01T18:36:01,cb35f914-f90f-485a-9b94-fa20e1340a84,codecarbon,84.35353183746338,0.003260060781468252,0.007678248179354226,France,FRA,île-de-france,N,,

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 15.0,
+    "eval_loss": Infinity,
+    "eval_runtime": 1.2872,
+    "eval_samples": 28,
+    "eval_samples_per_second": 21.753,
+    "eval_steps_per_second": 3.108,
+    "eval_wer": 1.0
+}

preprocessor_config.json

@@ -2,106 +2,6 @@
   "do_normalize": true,
   "feature_extractor_type": "Wav2Vec2FeatureExtractor",
   "feature_size": 80,
-  "language_code": [
-    "__afr__",
-    "__amh__",
-    "__arb__",
-    "__ary__",
-    "__arz__",
-    "__asm__",
-    "__azj__",
-    "__bel__",
-    "__ben__",
-    "__bos__",
-    "__bul__",
-    "__cat__",
-    "__ceb__",
-    "__ces__",
-    "__ckb__",
-    "__cmn__",
-    "__cmn_Hant__",
-    "__cym__",
-    "__dan__",
-    "__deu__",
-    "__ell__",
-    "__eng__",
-    "__est__",
-    "__eus__",
-    "__fin__",
-    "__fra__",
-    "__fuv__",
-    "__gaz__",
-    "__gle__",
-    "__glg__",
-    "__guj__",
-    "__heb__",
-    "__hin__",
-    "__hrv__",
-    "__hun__",
-    "__hye__",
-    "__ibo__",
-    "__ind__",
-    "__isl__",
-    "__ita__",
-    "__jav__",
-    "__jpn__",
-    "__kan__",
-    "__kat__",
-    "__kaz__",
-    "__khk__",
-    "__khm__",
-    "__kir__",
-    "__kor__",
-    "__lao__",
-    "__lit__",
-    "__lug__",
-    "__luo__",
-    "__lvs__",
-    "__mai__",
-    "__mal__",
-    "__mar__",
-    "__mkd__",
-    "__mlt__",
-    "__mni__",
-    "__mya__",
-    "__nld__",
-    "__nno__",
-    "__nob__",
-    "__npi__",
-    "__nya__",
-    "__ory__",
-    "__pan__",
-    "__pbt__",
-    "__pes__",
-    "__pol__",
-    "__por__",
-    "__ron__",
-    "__rus__",
-    "__sat__",
-    "__slk__",
-    "__slv__",
-    "__sna__",
-    "__snd__",
-    "__som__",
-    "__spa__",
-    "__srp__",
-    "__swe__",
-    "__swh__",
-    "__tam__",
-    "__tel__",
-    "__tgk__",
-    "__tgl__",
-    "__tha__",
-    "__tur__",
-    "__ukr__",
-    "__urd__",
-    "__uzn__",
-    "__vie__",
-    "__yor__",
-    "__yue__",
-    "__zlm__",
-    "__zul__"
-  ],
   "num_mel_bins": 80,
   "padding_side": "right",
   "padding_value": 1,

runs/Jan01_15-19-35_vorace/events.out.tfevents.1704122567.vorace.38190.1

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+size 352

runs/Jan01_18-34-16_vorace/events.out.tfevents.1704134075.vorace.75244.0

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train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 15.0,
+    "train_loss": 0.0,
+    "train_runtime": 86.8732,
+    "train_samples": 58,
+    "train_samples_per_second": 10.015,
+    "train_steps_per_second": 0.345
+}

trainer_state.json

@@ -0,0 +1,30 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 15.0,
+  "eval_steps": 100,
+  "global_step": 30,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
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+      "step": 30,
+      "total_flos": 2.076343463106048e+17,
+      "train_loss": 0.0,
+      "train_runtime": 86.8732,
+      "train_samples_per_second": 10.015,
+      "train_steps_per_second": 0.345
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 30,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 15,
+  "save_steps": 400,
+  "total_flos": 2.076343463106048e+17,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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