End of training

.gitignore

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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- stackexchange_titlebody_best_voted_answer_jsonl
+metrics:
+- rouge
+model-index:
+- name: flan-t5-base-flant5-apple-support
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: stackexchange_titlebody_best_voted_answer_jsonl
+      type: stackexchange_titlebody_best_voted_answer_jsonl
+      config: apple
+      split: train[:2%]
+      args: apple
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 12.4139
+---
+
+<!-- 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. -->
+
+# flan-t5-base-flant5-apple-support
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the stackexchange_titlebody_best_voted_answer_jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0475
+- Rouge1: 12.4139
+- Rouge2: 2.0562
+- Rougel: 9.4938
+- Rougelsum: 11.0524
+- Gen Len: 18.9589
+
+## 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: 8
+- eval_batch_size: 8
+- 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 | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 232  | 3.0886          | 12.844  | 2.1734 | 9.8971 | 11.3641   | 18.8876 |
+| No log        | 2.0   | 464  | 3.0639          | 12.2909 | 2.1209 | 9.4999 | 10.9458   | 18.9416 |
+| 3.3185        | 3.0   | 696  | 3.0538          | 12.4154 | 2.0984 | 9.4989 | 11.0684   | 18.9492 |
+| 3.3185        | 4.0   | 928  | 3.0489          | 12.7043 | 2.1969 | 9.7356 | 11.3629   | 18.9481 |
+| 3.187         | 5.0   | 1160 | 3.0475          | 12.4139 | 2.0562 | 9.4938 | 11.0524   | 18.9589 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.8.0
+- Tokenizers 0.13.2

config.json

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+  "architectures": [
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+  ],
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+  "d_kv": 64,
+  "d_model": 768,
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+  "feed_forward_proj": "gated-gelu",
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+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
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+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
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+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "use_cache": true,
+  "vocab_size": 32128
+}

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