End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google-t5/t5-small
+base_model: Mat17892/t5small_enfr_opus
 tags:
 - generated_from_trainer
 metrics:
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # t5small_enfr_opus
 
-This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+This model is a fine-tuned version of [Mat17892/t5small_enfr_opus](https://huggingface.co/Mat17892/t5small_enfr_opus) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6144
-- Bleu: 5.4874
-- Gen Len: 17.5826
+- Loss: 1.5642
+- Bleu: 6.0045
+- Gen Len: 17.5966
 
 ## Model description
 
@@ -45,15 +45,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
-| 1.8637        | 1.0   | 6355  | 1.6385          | 5.3258 | 17.592  |
-| 1.8216        | 2.0   | 12710 | 1.6144          | 5.4874 | 17.5826 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 1.7795        | 1.0   | 6355 | 1.5642          | 6.0045 | 17.5966 |
 
 
 ### Framework versions

runs/Dec04_15-06-48_de17b65e38c4/events.out.tfevents.1733324811.de17b65e38c4.396.0

@@ -1,3 +1,3 @@
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-size 8620
+oid sha256:96938cf616d95431cfceb54860ca86a3e148af3019666bdb5a9a52c3222067a3
+size 9344