xmlNer-biobert

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: xmlNer-biobert
+  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. -->
+
+# xmlNer-biobert
+
+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: 0.0843
+- Precision: 0.9481
+- Recall: 0.9752
+- F1: 0.9615
+- Accuracy: 0.9816
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.4975        | 1.0   | 612  | 0.1100          | 0.9268    | 0.9546 | 0.9405 | 0.9713   |
+| 0.1263        | 2.0   | 1224 | 0.0902          | 0.9359    | 0.9720 | 0.9536 | 0.9776   |
+| 0.0894        | 3.0   | 1836 | 0.0861          | 0.9437    | 0.9725 | 0.9579 | 0.9790   |
+| 0.0687        | 4.0   | 2448 | 0.0841          | 0.9461    | 0.9748 | 0.9603 | 0.9809   |
+| 0.0497        | 5.0   | 3060 | 0.0843          | 0.9481    | 0.9752 | 0.9615 | 0.9816   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -84,7 +84,7 @@
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
+  "torch_dtype": "float16",
   "transformers_version": "4.45.1",
   "type_vocab_size": 1,
   "use_cache": true,

model.safetensors

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-size 1109928552
+oid sha256:e29fd74a23df7089dd78d6db00037304e768483ad553f355cfda33a5b525a8e5
+size 554976180

runs/Nov20_18-32-49_4ea90b97e6a4/events.out.tfevents.1732130510.4ea90b97e6a4.30.1

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