End of training

README.md

@@ -13,14 +13,13 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/iman3710-pravaah-consulting/huggingface/runs/d1plxq5b)
 # my_awesome_opus_books_model
 
 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2237
-- Bleu: 0.1936
-- Gen Len: 17.9779
+- Loss: 0.2271
+- Bleu: 0.1332
+- Gen Len: 18.0428
 
 ## Model description
 
@@ -40,25 +39,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - 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 |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
-| 0.2431        | 1.0   | 8720  | 0.2272          | 0.1771 | 18.0655 |
-| 0.2381        | 2.0   | 17440 | 0.2237          | 0.1936 | 17.9779 |
+| 0.2471        | 1.0   | 17439 | 0.2271          | 0.1332 | 18.0428 |
 
 
 ### Framework versions
 
-- Transformers 4.42.3
-- Pytorch 2.1.2
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -2,5 +2,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.42.3"
+  "transformers_version": "4.42.4"
 }

runs/Jul31_09-12-05_1e9c7752e70c/events.out.tfevents.1722417126.1e9c7752e70c.6177.0

@@ -1,3 +1,3 @@
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-size 13038
+oid sha256:ba7b5981ffe7a2c78fbda751366b200ae6c51958e97cd05bd3c094e684e51075
+size 13775