initial

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-codesearchnet-python3
+  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. -->
+
+# t5-small-codesearchnet-python3
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1308
+- Rouge1: 0.0046
+- Rouge2: 0.0044
+- Avg Length: 0.317
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 256
+- 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 | Rouge1 | Rouge2 | Avg Length |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:----------:|
+| No log        | 1.0   | 39   | 8.0395          | 0.1733 | 0.0997 | 18.4264    |
+| No log        | 2.0   | 78   | 0.3933          | 0.0    | 0.0    | 0.0004     |
+| No log        | 3.0   | 117  | 0.2376          | 0.0    | 0.0    | 0.0        |
+| No log        | 3.99  | 156  | 0.1693          | 0.0    | 0.0    | 0.0        |
+| No log        | 4.99  | 195  | 0.1308          | 0.0046 | 0.0044 | 0.317      |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3

checkpoint-117/config.json

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+      "prefix": "translate English to Romanian: "
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+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "use_cache": true,
+  "vocab_size": 32128
+}

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