End of training

README.md

@@ -0,0 +1,119 @@
+---
+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_COCOv2
+  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_COCOv2
+
+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: 0.0707
+- Meteor Score: {'meteor': 0.6046359366263345}
+
+## 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: 5e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 1024
+- 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
+- num_epochs: 280
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Meteor Score                    |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------------------:|
+| 0.0897        | 5.0   | 5    | 0.0587          | {'meteor': 0.4933296543916349}  |
+| 0.0213        | 10.0  | 10   | 0.0519          | {'meteor': 0.5073906049291329}  |
+| 0.0139        | 15.0  | 15   | 0.0534          | {'meteor': 0.5026388184030599}  |
+| 0.0109        | 20.0  | 20   | 0.0548          | {'meteor': 0.4959687986841175}  |
+| 0.0093        | 25.0  | 25   | 0.0543          | {'meteor': 0.4949189450882494}  |
+| 0.0082        | 30.0  | 30   | 0.0545          | {'meteor': 0.49958464676936615} |
+| 0.0078        | 35.0  | 35   | 0.0550          | {'meteor': 0.5008859034272045}  |
+| 0.0071        | 40.0  | 40   | 0.0559          | {'meteor': 0.5053584986760098}  |
+| 0.0066        | 45.0  | 45   | 0.0567          | {'meteor': 0.5094590295434717}  |
+| 0.0063        | 50.0  | 50   | 0.0575          | {'meteor': 0.5059584506393162}  |
+| 0.0065        | 55.0  | 55   | 0.0573          | {'meteor': 0.5201908757902923}  |
+| 0.0055        | 60.0  | 60   | 0.0586          | {'meteor': 0.5200515565029338}  |
+| 0.0045        | 65.0  | 65   | 0.0598          | {'meteor': 0.5131378851174205}  |
+| 0.0049        | 70.0  | 70   | 0.0621          | {'meteor': 0.5499937139983992}  |
+| 0.0038        | 75.0  | 75   | 0.0624          | {'meteor': 0.539570315557215}   |
+| 0.0028        | 80.0  | 80   | 0.0617          | {'meteor': 0.548512504053465}   |
+| 0.0018        | 85.0  | 85   | 0.0631          | {'meteor': 0.5439640184191283}  |
+| 0.0012        | 90.0  | 90   | 0.0660          | {'meteor': 0.557925085228612}   |
+| 0.0008        | 95.0  | 95   | 0.0675          | {'meteor': 0.5620817011869172}  |
+| 0.0006        | 100.0 | 100  | 0.0674          | {'meteor': 0.5503094290454951}  |
+| 0.0006        | 105.0 | 105  | 0.0684          | {'meteor': 0.546181368312395}   |
+| 0.0005        | 110.0 | 110  | 0.0684          | {'meteor': 0.5463336233044072}  |
+| 0.0005        | 115.0 | 115  | 0.0691          | {'meteor': 0.5576619024543746}  |
+| 0.0004        | 120.0 | 120  | 0.0694          | {'meteor': 0.5546954942704183}  |
+| 0.0004        | 125.0 | 125  | 0.0696          | {'meteor': 0.5497222879420277}  |
+| 0.0004        | 130.0 | 130  | 0.0698          | {'meteor': 0.544311547059304}   |
+| 0.0004        | 135.0 | 135  | 0.0699          | {'meteor': 0.5493033925122285}  |
+| 0.0004        | 140.0 | 140  | 0.0700          | {'meteor': 0.5530207777515885}  |
+| 0.0004        | 145.0 | 145  | 0.0700          | {'meteor': 0.5564099668780601}  |
+| 0.0004        | 150.0 | 150  | 0.0700          | {'meteor': 0.5679492768564564}  |
+| 0.0004        | 155.0 | 155  | 0.0703          | {'meteor': 0.578595211309698}   |
+| 0.0004        | 160.0 | 160  | 0.0702          | {'meteor': 0.5902028331000073}  |
+| 0.0004        | 165.0 | 165  | 0.0702          | {'meteor': 0.5908341919060666}  |
+| 0.0004        | 170.0 | 170  | 0.0704          | {'meteor': 0.5835439636956574}  |
+| 0.0004        | 175.0 | 175  | 0.0702          | {'meteor': 0.5801775330047455}  |
+| 0.0004        | 180.0 | 180  | 0.0704          | {'meteor': 0.5793751931617782}  |
+| 0.0003        | 185.0 | 185  | 0.0708          | {'meteor': 0.5819164373295177}  |
+| 0.0004        | 190.0 | 190  | 0.0713          | {'meteor': 0.5854992116937614}  |
+| 0.0003        | 195.0 | 195  | 0.0713          | {'meteor': 0.5884835599643219}  |
+| 0.0004        | 200.0 | 200  | 0.0710          | {'meteor': 0.5936486621664319}  |
+| 0.0003        | 205.0 | 205  | 0.0708          | {'meteor': 0.5968246892960577}  |
+| 0.0003        | 210.0 | 210  | 0.0707          | {'meteor': 0.5955436943329665}  |
+| 0.0003        | 215.0 | 215  | 0.0707          | {'meteor': 0.5961895790422306}  |
+| 0.0003        | 220.0 | 220  | 0.0708          | {'meteor': 0.5978139647588809}  |
+| 0.0003        | 225.0 | 225  | 0.0708          | {'meteor': 0.6004561333768053}  |
+| 0.0003        | 230.0 | 230  | 0.0708          | {'meteor': 0.6002254020289525}  |
+| 0.0003        | 235.0 | 235  | 0.0707          | {'meteor': 0.6008501002566073}  |
+| 0.0003        | 240.0 | 240  | 0.0707          | {'meteor': 0.6021241487964467}  |
+| 0.0003        | 245.0 | 245  | 0.0707          | {'meteor': 0.6036197856196621}  |
+| 0.0003        | 250.0 | 250  | 0.0707          | {'meteor': 0.6036786254584352}  |
+| 0.0003        | 255.0 | 255  | 0.0707          | {'meteor': 0.6044847886434006}  |
+| 0.0003        | 260.0 | 260  | 0.0707          | {'meteor': 0.6046523048220338}  |
+| 0.0003        | 265.0 | 265  | 0.0707          | {'meteor': 0.6046132052320912}  |
+| 0.0003        | 270.0 | 270  | 0.0707          | {'meteor': 0.6045385775257441}  |
+| 0.0003        | 275.0 | 275  | 0.0707          | {'meteor': 0.6046099750473335}  |
+| 0.0003        | 280.0 | 280  | 0.0707          | {'meteor': 0.6046359366263345}  |
+
+
+### 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"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d902fec91d789e742daedc425c93b3a08e566034311244de31cc94707ce1ad5b
 size 1576851440