End of training

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: img_cap_aibxesck
+  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. -->
+
+# img_cap_aibxesck
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.5634
+- Bleu score: 0.0030
+
+## 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: 0.01
+- train_batch_size: 18
+- eval_batch_size: 18
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu score |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|
+| No log        | 1.0   | 157  | 16.3024         | 0.0022     |
+| No log        | 2.0   | 314  | 5.9833          | 0.0032     |
+| No log        | 3.0   | 471  | 5.9377          | 0.0030     |
+| 8.9191        | 4.0   | 628  | 5.5674          | 0.0032     |
+| 8.9191        | 5.0   | 785  | 5.5634          | 0.0030     |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 50256,
+  "decoder_start_token_id": 50256,
+  "early_stopping": true,
+  "eos_token_id": 50256,
+  "length_penalty": 2.0,
+  "max_length": 245,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 50256,
+  "transformers_version": "4.42.4"
+}

runs/Sep02_17-29-07_c85ecf701d9d/events.out.tfevents.1725298148.c85ecf701d9d.5577.7

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