Model save

README.md

@@ -0,0 +1,66 @@
+---
+license: mit
+base_model: microsoft/deberta-v3-xsmall
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- precision
+model-index:
+- name: deberta-v3-xsmall-finetuned-ner-1024
+  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. -->
+
+# deberta-v3-xsmall-finetuned-ner-1024
+
+This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1799
+- Recall: 0.0
+- Precision: 0.0
+- Fbeta Score: nan
+
+## 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: 0.0013
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Recall | Precision | Fbeta Score |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:---------:|:-----------:|
+| 0.1644        | 1.0   | 4496  | 0.1353          | 0.0    | 0.0       | nan         |
+| 0.1576        | 2.0   | 8992  | 0.1371          | 0.0    | 0.0       | nan         |
+| 0.1728        | 3.0   | 13488 | 0.2194          | 0.0    | 0.0       | nan         |
+| 0.1422        | 4.0   | 17984 | 0.1799          | 0.0    | 0.0       | nan         |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.1.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d62bea724488af7b0e98ad8d5c2edaf18b48df9d6439afa74cc6f2296772ee62
+oid sha256:e5054aab08f22316fc8d4639b0eb333691b86f43ca57ec5e1c396fc91144152d
 size 282772844