Model save

README.md

@@ -0,0 +1,64 @@
+---
+license: mit
+base_model: microsoft/deberta-v3-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: deberta-v3-large_fact_retrieval_k_3
+  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-large_fact_retrieval_k_3
+
+This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0212
+- Accuracy: 0.844
+
+## 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: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6635        | 1.0   | 310  | 0.4912          | 0.82     |
+| 0.2018        | 2.0   | 620  | 0.6005          | 0.848    |
+| 0.0534        | 3.0   | 930  | 0.8577          | 0.834    |
+| 0.0253        | 4.0   | 1240 | 0.9265          | 0.83     |
+| 0.011         | 5.0   | 1550 | 1.0212          | 0.844    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e0dc3582a98407a86f111eeda04cc91105f8b914bb24b2efc9c52919ac1ffe2d
+oid sha256:d835b613fbd0922bb298c90546dd0561d00169b2c8ffc6ace4b8b80269287b09
 size 1740300340