End of training

.gitattributes

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 *.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

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: gemini_chakma_roberta
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# gemini_chakma_roberta
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2323
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.1922        | 1.0   | 205  | 3.3312          |
+| 2.8762        | 2.0   | 410  | 3.1542          |
+| 2.6543        | 3.0   | 615  | 3.0181          |
+| 2.5254        | 4.0   | 820  | 2.8706          |
+| 2.4038        | 5.0   | 1025 | 2.7951          |
+| 2.325         | 6.0   | 1230 | 2.7440          |
+| 2.2749        | 7.0   | 1435 | 2.6188          |
+| 2.1967        | 8.0   | 1640 | 2.6125          |
+| 2.1665        | 9.0   | 1845 | 2.4628          |
+| 2.1042        | 10.0  | 2050 | 2.4725          |
+| 2.0445        | 11.0  | 2255 | 2.3773          |
+| 2.0271        | 12.0  | 2460 | 2.3718          |
+| 2.0039        | 13.0  | 2665 | 2.3011          |
+| 1.9585        | 14.0  | 2870 | 2.3232          |
+| 1.961         | 15.0  | 3075 | 2.2512          |
+| 1.914         | 16.0  | 3280 | 2.2426          |
+| 1.9351        | 17.0  | 3485 | 2.2657          |
+| 1.8987        | 18.0  | 3690 | 2.2187          |
+| 1.8596        | 19.0  | 3895 | 2.2450          |
+| 1.8777        | 20.0  | 4100 | 2.2323          |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0

config.json

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+{
+  "architectures": [
+    "XLMRobertaForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "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",
+  "transformers_version": "4.56.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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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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+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
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+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
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+  "tokenizer_class": "XLMRobertaTokenizer",
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+}

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