update model card README.md

README.md

@@ -12,9 +12,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tinygram
 
-This model is a fine-tuned version of [google/t5-efficient-tiny-nh32](https://huggingface.co/google/t5-efficient-tiny-nh32) on an unknown dataset.
+This model is a fine-tuned version of [google/t5-efficient-tiny-nl32](https://huggingface.co/google/t5-efficient-tiny-nl32) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4318
+- eval_loss: 0.2950
+- eval_runtime: 48.1231
+- eval_samples_per_second: 103.9
+- eval_steps_per_second: 12.988
+- epoch: 6.0
+- step: 15000
 
 ## Model description
 
@@ -41,22 +46,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 10
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 1.4129        | 1.0   | 1875  | 0.7042          |
-| 0.8989        | 2.0   | 3750  | 0.5567          |
-| 0.7689        | 3.0   | 5625  | 0.5098          |
-| 0.7041        | 4.0   | 7500  | 0.4821          |
-| 0.6824        | 5.0   | 9375  | 0.4634          |
-| 0.6456        | 6.0   | 11250 | 0.4511          |
-| 0.6241        | 7.0   | 13125 | 0.4440          |
-| 0.6194        | 8.0   | 15000 | 0.4364          |
-| 0.609         | 9.0   | 16875 | 0.4328          |
-| 0.6042        | 10.0  | 18750 | 0.4318          |
-
-
 ### Framework versions
 
 - Transformers 4.25.1