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: GPT_nyala
+  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. -->
+
+# GPT_nyala
+
+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: 3.0644
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 63   | 1.9867          |
+| No log        | 2.0   | 126  | 1.8179          |
+| No log        | 3.0   | 189  | 1.6489          |
+| No log        | 4.0   | 252  | 1.4101          |
+| No log        | 5.0   | 315  | 1.3706          |
+| No log        | 6.0   | 378  | 1.4276          |
+| No log        | 7.0   | 441  | 1.5910          |
+| 1.5172        | 8.0   | 504  | 1.6088          |
+| 1.5172        | 9.0   | 567  | 1.7207          |
+| 1.5172        | 10.0  | 630  | 2.0775          |
+| 1.5172        | 11.0  | 693  | 2.2686          |
+| 1.5172        | 12.0  | 756  | 2.4158          |
+| 1.5172        | 13.0  | 819  | 2.5343          |
+| 1.5172        | 14.0  | 882  | 2.6213          |
+| 1.5172        | 15.0  | 945  | 2.6917          |
+| 0.2964        | 16.0  | 1008 | 2.7928          |
+| 0.2964        | 17.0  | 1071 | 3.0821          |
+| 0.2964        | 18.0  | 1134 | 3.0595          |
+| 0.2964        | 19.0  | 1197 | 3.0762          |
+| 0.2964        | 20.0  | 1260 | 3.0644          |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForQuestionAnswering"
+  ],
+  "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": 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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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+oid sha256:a1b804a45d95822c8fb8e6318b685e0ff935d70281ef615d46d88ac6c60b5b2e
+size 1109842416

training_args.bin

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+size 5368