google/flan-t5-small

README.md

@@ -4,24 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - samsum
-metrics:
-- rouge
 model-index:
 - name: flan-t5-small-samsum
-  results:
-  - task:
-      name: Sequence-to-sequence Language Modeling
-      type: text2text-generation
-    dataset:
-      name: samsum
-      type: samsum
-      config: samsum
-      split: test
-      args: samsum
-    metrics:
-    - name: Rouge1
-      type: rouge
-      value: 41.8884
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,12 +16,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7427
-- Rouge1: 41.8884
-- Rouge2: 17.881
-- Rougel: 34.4405
-- Rougelsum: 38.1283
-- Gen Len: 16.8437
+- eval_loss: 1.7427
+- eval_rouge1: 41.8933
+- eval_rouge2: 17.8662
+- eval_rougeL: 34.4336
+- eval_rougeLsum: 38.1127
+- eval_gen_len: 16.8437
+- eval_runtime: 23.6635
+- eval_samples_per_second: 34.61
+- eval_steps_per_second: 2.197
+- epoch: 1.0
+- step: 32
 
 ## Model description
 
@@ -63,13 +53,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 1
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 1.9011        | 1.0   | 32   | 1.7427          | 41.8884 | 17.881 | 34.4405 | 38.1283   | 16.8437 |
-
-
 ### Framework versions
 
 - Transformers 4.26.1