Training in progress, epoch 1

README.md

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+---
+library_name: transformers
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: mtl-xlmr-base-viwiki-v3
+  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. -->
+
+# mtl-xlmr-base-viwiki-v3
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6780
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8769        | 1.0   | 960  | 0.7713          |
+| 0.5802        | 2.0   | 1920 | 0.6602          |
+| 0.7036        | 3.0   | 2880 | 0.6153          |
+| 0.4554        | 4.0   | 3840 | 0.6017          |
+| 0.3767        | 5.0   | 4800 | 0.6026          |
+| 0.3122        | 6.0   | 5760 | 0.6543          |
+| 0.2951        | 7.0   | 6720 | 0.6342          |
+| 0.2424        | 8.0   | 7680 | 0.6403          |
+| 0.3225        | 9.0   | 8640 | 0.6522          |
+| 0.2981        | 10.0  | 9600 | 0.6780          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.1
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "xlm-roberta-large",
+  "architectures": [
+    "MRCQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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+size 2235424492

training_args.bin

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