Training in progress, step 2000

config.json

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+{
+  "architectures": [
+    "SpeechEncoderDecoderModel"
+  ],
+  "decoder": {
+    "_attn_implementation_autoset": true,
+    "_name_or_path": "fav-kky/gpt2-small-cs",
+    "activation_function": "gelu",
+    "add_cross_attention": true,
+    "architectures": [
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+    "embd_pdrop": 0.1,
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+      "1": "LABEL_1"
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+    "is_decoder": true,
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+    "length_penalty": 1.0,
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+    "min_length": 0,
+    "model_type": "gpt2",
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+    "problem_type": null,
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+    "reorder_and_upcast_attn": false,
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+    "summary_proj_to_labels": true,
+    "summary_type": "cls_index",
+    "summary_use_proj": true,
+    "suppress_tokens": null,
+    "task_specific_params": {
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+        "max_length": 1024
+      }
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+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
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+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 50000
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+    "_name_or_path": "fav-kky/wav2vec2-base-cs-80k-ClTRUS",
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+    "adapter_attn_dim": null,
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+    "add_adapter": false,
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+    "apply_spec_augment": true,
+    "architectures": [
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+    "num_conv_pos_embedding_groups": 16,
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+    "num_feat_extract_layers": 7,
+    "num_hidden_layers": 12,
+    "num_negatives": 100,
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+    "output_attentions": false,
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+    "tdnn_dilation": [
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+    "torch_dtype": "float32",
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+    "use_weighted_layer_sum": false,
+    "vocab_size": 32,
+    "xvector_output_dim": 512
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+  "is_encoder_decoder": true,
+  "model_type": "speech-encoder-decoder",
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+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3"
+}

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
+}

training_args.bin

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