Training in progress, step 100

config.json

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+  "activation_dropout": 0.1,
+  "adapter_attn_dim": null,
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+  "apply_spec_augment": true,
+  "architectures": [
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+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 256,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": false,
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+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.1,
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+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
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+  "mask_feature_length": 10,
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+  "model_type": "wav2vec2",
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+  "num_attention_heads": 12,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
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+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 12,
+  "num_negatives": 100,
+  "output_hidden_size": 768,
+  "pad_token_id": 54,
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+    1,
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+  "transformers_version": "4.41.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 57,
+  "xvector_output_dim": 512
+}

model.safetensors

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preprocessor_config.json

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

runs/Jun27_11-31-25_LAPTOP-T3ANKK38/events.out.tfevents.1719481109.LAPTOP-T3ANKK38.22700.7

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runs/Jun27_11-48-04_LAPTOP-T3ANKK38/events.out.tfevents.1719482087.LAPTOP-T3ANKK38.22700.8

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runs/Jun27_12-22-31_LAPTOP-T3ANKK38/events.out.tfevents.1719484530.LAPTOP-T3ANKK38.22700.9

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runs/Jun27_18-34-03_LAPTOP-T3ANKK38/events.out.tfevents.1719506425.LAPTOP-T3ANKK38.15876.0

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runs/Jun27_23-01-45_LAPTOP-T3ANKK38/events.out.tfevents.1719522523.LAPTOP-T3ANKK38.20292.0

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training_args.bin

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