Training in progress, step 500

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "facebook/mbart-large-50",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": true,
+  "architectures": [
+    "MBartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
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+  "classifier_dropout": 0.0,
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+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
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+  "decoder_start_token_id": 2,
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+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_length": 200,
+  "max_position_embeddings": 1024,
+  "model_type": "mbart",
+  "normalize_before": true,
+  "normalize_embedding": true,
+  "num_beams": 5,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "scale_embedding": true,
+  "static_position_embeddings": false,
+  "tokenizer_class": "MBart50Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.22.2",
+  "use_cache": true,
+  "vocab_size": 250054
+}

pytorch_model.bin

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sentencepiece.bpe.model

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special_tokens_map.json

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+{
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+    "ar_AR",
+    "cs_CZ",
+    "de_DE",
+    "en_XX",
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+    "tl_XX",
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+  "pad_token": "<pad>",
+  "sep_token": "</s>",
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+}

tokenizer_config.json

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+{
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+    "cs_CZ",
+    "de_DE",
+    "en_XX",
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+    "tl_XX",
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+    "single_word": false
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+  "name_or_path": "facebook/mbart-large-50",
+  "num_labels": 2,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "special_tokens_map_file": "/home/suraj/projects/mbart-50/hf_models/mbart-50-large/special_tokens_map.json",
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+  "tokenizer_class": "MBart50Tokenizer",
+  "tokenizer_file": null,
+  "unk_token": "<unk>"
+}

training_args.bin

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