Training in progress, step 1000

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

config.json

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+{
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+    "XLMRobertaForSequenceClassification"
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+  "hidden_size": 768,
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+    "2": "contradiction"
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+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.56.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

config_snapshot.json

@@ -0,0 +1,38 @@
+{
+  "dataset_name": "facebook/xnli",
+  "dataset_config": "en",
+  "text_pair_columns": [
+    "premise",
+    "hypothesis"
+  ],
+  "label_column": "label",
+  "model_name": "FacebookAI/xlm-roberta-base",
+  "max_length": 512,
+  "output_dir": "xnli-xlm-roberta-base",
+  "seed": 42,
+  "num_train_epochs": 3.0,
+  "learning_rate": 2e-05,
+  "weight_decay": 0.01,
+  "warmup_ratio": 0.06,
+  "lr_scheduler_type": "linear",
+  "per_device_train_batch_size": 256,
+  "per_device_eval_batch_size": 256,
+  "gradient_accumulation_steps": 1,
+  "max_grad_norm": 1.0,
+  "fp16": false,
+  "bf16": true,
+  "gradient_checkpointing": false,
+  "max_train_samples": null,
+  "max_eval_samples": null,
+  "max_test_samples": null,
+  "eval_steps": 1000,
+  "save_steps": 1000,
+  "logging_steps": 100,
+  "save_total_limit": 2,
+  "metric_for_best_model": "macro_f1",
+  "greater_is_better": true,
+  "early_stopping_patience": 3,
+  "report_to": "wandb",
+  "push_to_hub": true,
+  "hub_model_id": "AyoubChLin/bert-base-multilingual-cased-zeroshot-nli"
+}

model.safetensors

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sentencepiece.bpe.model

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special_tokens_map.json

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+}

tokenizer.json

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tokenizer_config.json

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+  "tokenizer_class": "XLMRobertaTokenizer",
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+}

training_args.bin

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