End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: mit
+base_model: microsoft/git-large-r-coco
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: git-large-r-coco-IDB_ADv1_COCOv6-rv3
+  results: []
+---
+
+<!-- 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. -->
+
+# git-large-r-coco-IDB_ADv1_COCOv6-rv3
+
+This model is a fine-tuned version of [microsoft/git-large-r-coco](https://huggingface.co/microsoft/git-large-r-coco) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0863
+- Meteor Score: {'meteor': 0.6759040451749316}
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 6
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 96
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Meteor Score                   |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------:|
+| 0.5819        | 5.0   | 5    | 0.0931          | {'meteor': 0.6828111433072758} |
+| 0.5633        | 10.0  | 10   | 0.0926          | {'meteor': 0.67882651810593}   |
+| 0.5255        | 15.0  | 15   | 0.0886          | {'meteor': 0.6786692018375606} |
+| 0.4719        | 20.0  | 20   | 0.0863          | {'meteor': 0.6759040451749316} |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.20.2

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 101,
+  "eos_token_id": 102,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.1"
+}