Model save

README.md

@@ -4,8 +4,6 @@ license: mit
 base_model: EleutherAI/gpt-neo-1.3B
 tags:
 - generated_from_trainer
-datasets:
-- Ben10x/MedMentions-MTI881-NER
 metrics:
 - precision
 - recall
@@ -13,26 +11,7 @@ metrics:
 - accuracy
 model-index:
 - name: gpt-medmentions
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: Ben10x/MedMentions-MTI881-NER
-      type: Ben10x/MedMentions-MTI881-NER
-    metrics:
-    - name: Precision
-      type: precision
-      value: 0.44261028378758077
-    - name: Recall
-      type: recall
-      value: 0.5340735717918291
-    - name: F1
-      type: f1
-      value: 0.48405930705999844
-    - name: Accuracy
-      type: accuracy
-      value: 0.8431182650696939
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gpt-medmentions
 
-This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on the Ben10x/MedMentions-MTI881-NER dataset.
+This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5186
-- Precision: 0.4426
-- Recall: 0.5341
-- F1: 0.4841
-- Accuracy: 0.8431
+- Loss: 1.0903
+- Precision: 0.4758
+- Recall: 0.5181
+- F1: 0.4960
+- Accuracy: 0.8518
 
 ## Model description
 
@@ -78,11 +57,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.5309        | 1.0   | 5850  | 0.5358          | 0.4123    | 0.4673 | 0.4381 | 0.8330   |
-| 0.3521        | 2.0   | 11700 | 0.5186          | 0.4426    | 0.5341 | 0.4841 | 0.8431   |
-| 0.1695        | 3.0   | 17550 | 0.6351          | 0.4681    | 0.4846 | 0.4762 | 0.8485   |
-| 0.0711        | 4.0   | 23400 | 0.9214          | 0.4716    | 0.5156 | 0.4926 | 0.8498   |
-| 0.0384        | 5.0   | 29250 | 1.1011          | 0.4748    | 0.5144 | 0.4938 | 0.8506   |
+| 0.5307        | 1.0   | 5850  | 0.5369          | 0.4129    | 0.4711 | 0.4401 | 0.8341   |
+| 0.3585        | 2.0   | 11700 | 0.5111          | 0.4453    | 0.5247 | 0.4818 | 0.8454   |
+| 0.1758        | 3.0   | 17550 | 0.6349          | 0.4718    | 0.4900 | 0.4807 | 0.8497   |
+| 0.0751        | 4.0   | 23400 | 0.9264          | 0.4628    | 0.5208 | 0.4901 | 0.8497   |
+| 0.0387        | 5.0   | 29250 | 1.0903          | 0.4758    | 0.5181 | 0.4960 | 0.8518   |
 
 
 ### Framework versions

model-00001-of-00002.safetensors

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 size 4993794184

model-00002-of-00002.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:8b87b92a458b9f83199839826d26700d09f14291465a47cbdda29f25ca8619f3
+oid sha256:0b83ae006bf803333da263092a79cf7c0e3d10a895ee55087bbe49ceb45d3a41
 size 269429120