IParraMartin/XLM-EusBERTa-sentiment-classification

README.md

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+---
+license: mit
+base_model: IParraMartin/XLM-EusBERTa-V1
+tags:
+- generated_from_trainer
+datasets:
+- basque_glue
+model-index:
+- name: XLM-EusBERTa-sentiment-classification
+  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. -->
+
+# XLM-EusBERTa-sentiment-classification
+
+This model is a fine-tuned version of [IParraMartin/XLM-EusBERTa-V1](https://huggingface.co/IParraMartin/XLM-EusBERTa-V1) on the basque_glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0882
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.106         | 1.0   | 760   | 1.0912          |
+| 1.1012        | 2.0   | 1520  | 1.0923          |
+| 1.1021        | 3.0   | 2280  | 1.0906          |
+| 1.1026        | 4.0   | 3040  | 1.0890          |
+| 1.099         | 5.0   | 3800  | 1.0897          |
+| 1.0989        | 6.0   | 4560  | 1.0892          |
+| 1.0958        | 7.0   | 5320  | 1.0883          |
+| 1.0972        | 8.0   | 6080  | 1.0891          |
+| 1.0929        | 9.0   | 6840  | 1.0989          |
+| 1.0967        | 10.0  | 7600  | 1.0918          |
+| 1.0884        | 11.0  | 8360  | 1.0894          |
+| 1.0921        | 12.0  | 9120  | 1.0898          |
+| 1.0934        | 13.0  | 9880  | 1.0894          |
+| 1.0911        | 14.0  | 10640 | 1.0891          |
+| 1.0907        | 15.0  | 11400 | 1.0889          |
+| 1.0952        | 16.0  | 12160 | 1.0909          |
+| 1.0865        | 17.0  | 12920 | 1.0883          |
+| 1.0916        | 18.0  | 13680 | 1.0884          |
+| 1.0919        | 19.0  | 14440 | 1.0883          |
+| 1.0899        | 20.0  | 15200 | 1.0882          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "IParraMartin/XLM-EusBERTa-V1",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "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,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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runs/Dec21_19-56-19_37a4f5554ef6/events.out.tfevents.1703188584.37a4f5554ef6.2758.2

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training_args.bin

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