End of training

README.md

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [razent/SciFive-base-Pubmed_PMC](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4216
-- Rouge1: 0.2455
-- Rouge2: 0.1267
-- Rougel: 0.2168
-- Rougelsum: 0.2164
-- Gen Len: 16.81
+- Loss: 2.1808
+- Rouge1: 0.2773
+- Rouge2: 0.1464
+- Rougel: 0.2356
+- Rougelsum: 0.2352
+- Gen Len: 17.07
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 213  | 2.5335          | 0.1306 | 0.0622 | 0.1211 | 0.1206    | 14.4    |
-| No log        | 2.0   | 426  | 2.4216          | 0.2455 | 0.1267 | 0.2168 | 0.2164    | 16.81   |
+| No log        | 1.0   | 275  | 2.2837          | 0.2323 | 0.1199 | 0.1967 | 0.1962    | 16.15   |
+| 2.4778        | 2.0   | 550  | 2.1808          | 0.2773 | 0.1464 | 0.2356 | 0.2352    | 17.07   |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

model.safetensors

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runs/Jan28_18-59-56_8789129c3372/events.out.tfevents.1706468397.8789129c3372.437.0

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