Training in progress epoch 0

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+license: mit
+base_model: khadija69/xlmRobertaLarge_BIES_stem_1K_1
+tags:
+- generated_from_keras_callback
+model-index:
+- name: khadija69/xlmRobertaLarge_BIES_stem_1K_2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# khadija69/xlmRobertaLarge_BIES_stem_1K_2
+
+This model is a fine-tuned version of [khadija69/xlmRobertaLarge_BIES_stem_1K_1](https://huggingface.co/khadija69/xlmRobertaLarge_BIES_stem_1K_1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.8619
+- Train Accuracy: 0.5325
+- Validation Loss: 0.7901
+- Validation Accuracy: 0.5469
+- Epoch: 0
+
+## 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:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.8619     | 0.5325         | 0.7901          | 0.5469              | 0     |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- TensorFlow 2.15.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "khadija69/xlmRobertaLarge_BIES_stem_1K_1",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
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+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "B-Skill",
+    "1": "I-Skill",
+    "2": "E-Skill",
+    "3": "S-Skill",
+    "4": "B-O",
+    "5": "I-O",
+    "6": "E-O",
+    "7": "S-O"
+  },
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+  "intermediate_size": 4096,
+  "label2id": {
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+    "B-Skill": 0,
+    "E-O": 6,
+    "E-Skill": 2,
+    "I-O": 5,
+    "I-Skill": 1,
+    "S-O": 7,
+    "S-Skill": 3
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.42.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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special_tokens_map.json

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tf_model.h5

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tokenizer_config.json

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+}