Training in progress, step 100

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "facebook/mms-300m",
+  "activation_dropout": 0.0,
+  "adapter_attn_dim": null,
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+  "architectures": [
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+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
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+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
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+  "feat_extract_norm": "layer",
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+  "feat_quantizer_dropout": 0.0,
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+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
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+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
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+  "mask_time_prob": 0.05,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 93,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
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+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
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+    512,
+    512,
+    512,
+    1500
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+  "tdnn_kernel": [
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+    3,
+    3,
+    1,
+    1
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+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0.dev0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 96,
+  "xvector_output_dim": 512
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

pytorch_model.bin

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runs/Aug30_21-56-38_ubuntu-Standard-PC-Q35-ICH9-2009/events.out.tfevents.1693412896.ubuntu-Standard-PC-Q35-ICH9-2009.103366.0

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training_args.bin

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