Training in progress, step 500

.gitignore

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config.json

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+{
+  "_name_or_path": "moussaKam/AraBART",
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": true,
+  "architectures": [
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+  "classifier_dropout": 0.0,
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+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "do_blenderbot_90_layernorm": false,
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+  "early_stopping": true,
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+  "extra_pos_embeddings": 2,
+  "force_bos_token_to_be_generated": false,
+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
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+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
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+    "LABEL_1": 1,
+    "LABEL_2": 2
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+  "max_position_embeddings": 1024,
+  "model_type": "mbart",
+  "no_repeat_ngram_size": 3,
+  "normalize_before": true,
+  "normalize_embedding": true,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "static_position_embeddings": false,
+  "tokenizer_class": "BarthezTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "use_cache": true,
+  "vocab_size": 50002
+}

pytorch_model.bin

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sentencepiece.bpe.model

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special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
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+    "lstrip": true,
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+    "single_word": false
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+}

tokenizer_config.json

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+{
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+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
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+  "name_or_path": "moussaKam/AraBART",
+  "pad_token": "<pad>",
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+  "sp_model_kwargs": {},
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+  "tokenizer_class": "BarthezTokenizer",
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+}

training_args.bin

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