Training complete

README.md

@@ -3,22 +3,27 @@ library_name: transformers
 license: apache-2.0
 base_model: google/mt5-small
 tags:
-- generated_from_keras_callback
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
 model-index:
-- name: durgaphaniteja985/mt5-small-finetuned-amazon-en-es
+- name: mt5-small-finetuned-amazon-en-es
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
 
-# durgaphaniteja985/mt5-small-finetuned-amazon-en-es
+# mt5-small-finetuned-amazon-en-es
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 12.6767
-- Validation Loss: 6.4884
-- Epoch: 0
+- Loss: 3.2159
+- Rouge1: 17.3504
+- Rouge2: 8.219
+- Rougel: 16.7598
+- Rougelsum: 16.9027
 
 ## Model description
 
@@ -37,19 +42,31 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 6160, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
-- training_precision: mixed_float16
+- learning_rate: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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: 8
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 12.6767    | 6.4884          | 0     |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 5.8554        | 1.0   | 1541  | 3.4109          | 14.0843 | 7.0483  | 13.7876 | 13.7424   |
+| 3.5936        | 2.0   | 3082  | 3.3110          | 16.9351 | 8.9452  | 16.1951 | 16.2707   |
+| 3.2943        | 3.0   | 4623  | 3.2440          | 18.9749 | 10.2572 | 18.3207 | 18.3447   |
+| 3.1378        | 4.0   | 6164  | 3.2157          | 17.5435 | 9.5501  | 16.976  | 16.9846   |
+| 3.0374        | 5.0   | 7705  | 3.2017          | 17.2499 | 8.6003  | 16.8574 | 16.8485   |
+| 2.9644        | 6.0   | 9246  | 3.1948          | 16.7856 | 7.7093  | 16.3617 | 16.4731   |
+| 2.921         | 7.0   | 10787 | 3.2160          | 18.1708 | 8.8001  | 17.4812 | 17.5949   |
+| 2.8907        | 8.0   | 12328 | 3.2159          | 17.3504 | 8.219   | 16.7598 | 16.9027   |
 
 
 ### Framework versions
 
 - Transformers 4.46.2
-- TensorFlow 2.17.1
+- Pytorch 2.5.1+cu121
 - Datasets 3.1.0
 - Tokenizers 0.20.3

generation_config.json

@@ -1,5 +1,4 @@
 {
-  "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,

runs/Dec04_02-45-50_64770b165a7b/events.out.tfevents.1733280360.64770b165a7b.187.1

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runs/Dec04_02-45-50_64770b165a7b/events.out.tfevents.1733286153.64770b165a7b.187.2

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