Training done for bart-cnn

config.json

@@ -1,29 +1,33 @@
 {
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-  "activation_dropout": 0.1,
-  "activation_function": "relu",
-  "add_bias_logits": false,
-  "add_final_layer_norm": true,
+  "_name_or_path": "facebook/bart-large-cnn",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "add_final_layer_norm": false,
   "architectures": [
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+    "BartForConditionalGeneration"
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   "classif_dropout": 0.0,
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   "d_model": 1024,
   "decoder_attention_heads": 16,
   "decoder_ffn_dim": 4096,
   "decoder_layerdrop": 0.0,
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+  "decoder_start_token_id": 2,
   "dropout": 0.1,
+  "early_stopping": true,
   "encoder_attention_heads": 16,
   "encoder_ffn_dim": 4096,
   "encoder_layerdrop": 0.0,
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-  "extra_pos_embeddings": 1,
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+  "force_bos_token_to_be_generated": true,
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+  "gradient_checkpointing": false,
   "id2label": {
     "0": "LABEL_0",
     "1": "LABEL_1",
@@ -36,20 +40,31 @@
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     "LABEL_2": 2
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+  "length_penalty": 2.0,
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   "max_position_embeddings": 1024,
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-  "pad_token_id": 0,
-  "scale_embedding": true,
-  "static_position_embeddings": true,
+  "min_length": 56,
+  "model_type": "bart",
+  "no_repeat_ngram_size": 3,
+  "normalize_before": false,
+  "num_beams": 4,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "prefix": " ",
+  "scale_embedding": false,
+  "task_specific_params": {
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   "torch_dtype": "float32",
   "transformers_version": "4.30.2",
   "use_cache": true,
-  "vocab_size": 96103
+  "vocab_size": 50264
 }

generation_config.json

@@ -1,13 +1,16 @@
 {
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+  "early_stopping": true,
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+  "no_repeat_ngram_size": 3,
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   "transformers_version": "4.30.2"
 }

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tokenizer_config.json

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