End of training

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-base-YT-transcript-sum
+  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. -->
+
+# flan-t5-base-YT-transcript-sum
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4118
+- Rouge1: 25.4884
+- Rouge2: 12.9544
+- Rougel: 21.8085
+- Rougelsum: 23.7402
+- Gen Len: 19.0
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 216  | 1.5856          | 23.6948 | 11.0722 | 20.1382 | 22.2371   | 18.9722 |
+| No log        | 2.0   | 432  | 1.4956          | 23.9099 | 11.6734 | 20.4638 | 22.2083   | 19.0    |
+| 1.7743        | 3.0   | 648  | 1.4517          | 24.8274 | 12.1689 | 21.0773 | 23.1354   | 19.0    |
+| 1.7743        | 4.0   | 864  | 1.4334          | 25.0091 | 12.4359 | 21.3687 | 23.3004   | 18.9769 |
+| 1.4377        | 5.0   | 1080 | 1.4175          | 25.4136 | 12.792  | 21.5903 | 23.5516   | 18.9815 |
+| 1.4377        | 6.0   | 1296 | 1.4118          | 25.4884 | 12.9544 | 21.8085 | 23.7402   | 19.0    |
+| 1.2819        | 7.0   | 1512 | 1.4144          | 25.6073 | 13.4263 | 22.1348 | 24.0203   | 19.0    |
+| 1.2819        | 8.0   | 1728 | 1.4181          | 25.8727 | 13.5153 | 22.2189 | 24.211    | 19.0    |
+| 1.2819        | 9.0   | 1944 | 1.4174          | 25.8817 | 13.9496 | 22.4955 | 24.3655   | 19.0    |
+| 1.1716        | 10.0  | 2160 | 1.4193          | 26.2123 | 13.7931 | 22.4856 | 24.6381   | 19.0    |
+| 1.1716        | 11.0  | 2376 | 1.4188          | 25.7062 | 13.6106 | 22.1476 | 24.1384   | 19.0    |
+| 1.0947        | 12.0  | 2592 | 1.4243          | 26.0097 | 13.9708 | 22.4699 | 24.4448   | 19.0    |
+| 1.0947        | 13.0  | 2808 | 1.4307          | 26.0922 | 14.1617 | 22.5681 | 24.513    | 18.9954 |
+| 1.0566        | 14.0  | 3024 | 1.4311          | 25.9908 | 13.8775 | 22.448  | 24.4268   | 18.9954 |
+| 1.0566        | 15.0  | 3240 | 1.4347          | 26.1238 | 13.9542 | 22.5653 | 24.5333   | 18.9954 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "google/flan-t5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
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+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "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": "4.33.2",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.2"
+}

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