Trabalho/imageCaptioning

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on the coco dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0848
-- Rouge1: 29.903
-- Rouge2: 7.441
-- Rougel: 28.0811
-- Rougelsum: 28.1133
-- Bleu: 3.2506
-- Gen Len: 11.116
+- Loss: 0.8174
+- Rouge1: 41.4513
+- Rouge2: 15.9705
+- Rougel: 37.8534
+- Rougelsum: 37.8514
+- Bleu: 9.9633
+- Gen Len: 11.3253
 
 ## Model description
 
@@ -44,20 +44,32 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 1
-- eval_batch_size: 1
+- 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: 1
+- num_epochs: 2
 
 ### Training results
 
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-------:|
+| 1.091         | 0.19  | 2000  | 0.9783          | 35.5981 | 11.1245 | 32.4533 | 32.4622   | 6.1315 | 11.3253 |
+| 0.9629        | 0.38  | 4000  | 0.9306          | 36.8386 | 12.0629 | 33.7446 | 33.7445   | 6.806  | 11.3253 |
+| 0.9251        | 0.57  | 6000  | 0.9004          | 37.8439 | 13.1346 | 34.663  | 34.6608   | 7.6122 | 11.3253 |
+| 0.9116        | 0.75  | 8000  | 0.8759          | 38.5078 | 13.477  | 35.1981 | 35.2143   | 7.6881 | 11.3253 |
+| 0.8903        | 0.94  | 10000 | 0.8592          | 39.6087 | 14.2529 | 36.0992 | 36.1042   | 8.5688 | 11.3253 |
+| 0.8381        | 1.13  | 12000 | 0.8480          | 40.3217 | 15.012  | 36.8038 | 36.8046   | 9.1783 | 11.3253 |
+| 0.8066        | 1.32  | 14000 | 0.8383          | 40.7187 | 15.1971 | 37.15   | 37.148    | 9.2942 | 11.3253 |
+| 0.7938        | 1.51  | 16000 | 0.8298          | 41.1227 | 15.635  | 37.423  | 37.4147   | 9.6574 | 11.3253 |
+| 0.7854        | 1.7   | 18000 | 0.8232          | 41.5275 | 16.007  | 37.8586 | 37.8569   | 9.8936 | 11.3253 |
+| 0.7837        | 1.88  | 20000 | 0.8190          | 41.2515 | 15.8468 | 37.6257 | 37.6252   | 9.8732 | 11.3253 |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
 - Tokenizers 0.14.1

config.json

@@ -43284,5 +43284,5 @@
   "pad_token_id": 50256,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.34.0"
+  "transformers_version": "4.34.1"
 }

generation_config.json

@@ -3,5 +3,5 @@
   "decoder_start_token_id": 50256,
   "eos_token_id": 50256,
   "pad_token_id": 50256,
-  "transformers_version": "4.34.0"
+  "transformers_version": "4.34.1"
 }

pytorch_model.bin

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training_args.bin

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