Training in progress, step 5000

config.json

@@ -5,7 +5,7 @@
   "architectures": [
     "HubertForCTC"
   ],
-  "attention_dropout": 0.1,
+  "attention_dropout": 0.0,
   "bos_token_id": 1,
   "classifier_proj_size": 256,
   "conv_bias": true,
@@ -44,18 +44,18 @@
   "feat_extract_activation": "gelu",
   "feat_extract_dropout": 0.0,
   "feat_extract_norm": "layer",
-  "feat_proj_dropout": 0.1,
+  "feat_proj_dropout": 0.0,
   "feat_proj_layer_norm": true,
   "final_dropout": 0.1,
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
-  "hidden_dropout": 0.1,
+  "hidden_dropout": 0.0,
   "hidden_dropout_prob": 0.1,
   "hidden_size": 1024,
   "initializer_range": 0.02,
   "intermediate_size": 4096,
   "layer_norm_eps": 1e-05,
-  "layerdrop": 0.1,
+  "layerdrop": 0.0,
   "mask_feature_length": 10,
   "mask_feature_min_masks": 0,
   "mask_feature_prob": 0.0,
@@ -70,7 +70,7 @@
   "num_hidden_layers": 24,
   "pad_token_id": 39,
   "torch_dtype": "float32",
-  "transformers_version": "4.31.0",
+  "transformers_version": "4.30.2",
   "use_weighted_layer_sum": false,
   "vocab_size": 40
 }

pytorch_model.bin

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runs/Aug05_12-24-40_f67a990871fa/events.out.tfevents.1691238805.f67a990871fa.29.1

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training_args.bin

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