End of training

README.md

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+---
+base_model: VK246/IC_ver6M_coco_swin_gpt2_50A_1e
+tags:
+- generated_from_trainer
+datasets:
+- coco
+metrics:
+- rouge
+model-index:
+- name: IC_ver6N_coco_swin_gpt2_50B_1e
+  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. -->
+
+# IC_ver6N_coco_swin_gpt2_50B_1e
+
+This model is a fine-tuned version of [VK246/IC_ver6M_coco_swin_gpt2_50A_1e](https://huggingface.co/VK246/IC_ver6M_coco_swin_gpt2_50A_1e) on the coco dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8687
+- Cider: 72.5295
+- Rouge1: 41.1356
+- Rouge2: 15.6403
+- Rougel: 37.2276
+- Rougelsum: 37.2406
+- Bleu-1: 42.1796
+- Bleu-2: 24.0186
+- Bleu-3: 14.9974
+- Bleu-4: 9.8206
+- Gen Len: 11.3063
+
+## 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: 96
+- eval_batch_size: 96
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cider   | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu-1  | Bleu-2  | Bleu-3  | Bleu-4 | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:------:|:-------:|
+| 0.3812        | 0.34  | 1000 | 1.0009          | 68.2568 | 39.9649 | 14.5975 | 36.1435 | 36.1441   | 41.3234 | 23.0865 | 14.2103 | 9.2075 | 11.3063 |
+| 0.5147        | 0.68  | 2000 | 0.8687          | 72.5295 | 41.1356 | 15.6403 | 37.2276 | 37.2406   | 42.1796 | 24.0186 | 14.9974 | 9.8206 | 11.3063 |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "bos_token_id": 50256,
+  "decoder_start_token_id": 50256,
+  "eos_token_id": 50256,
+  "pad_token_id": 50256,
+  "transformers_version": "4.32.0"
+}

pytorch_model.bin

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+oid sha256:29b6e6bb153be1b9983505bd9915e5ae32f92827e396c087afe68bdc1c8e9947
 size 962051233

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

@@ -0,0 +1,17 @@
+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "max_length": 32,
+  "model_max_length": 1024,
+  "pad_to_multiple_of": null,
+  "pad_token": "<|endoftext|>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "stride": 0,
+  "tokenizer_class": "GPT2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<|endoftext|>"
+}