End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: pargraphs_titlesV1.0
+  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. -->
+
+# pargraphs_titlesV1.0
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2697
+- Rouge1: 68.705
+- Rouge2: 54.5204
+- Rougel: 67.7709
+- Rougelsum: 67.7942
+- Gen Len: 1401169535.5
+
+## 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: 4e-05
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len      |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------------:|
+| 0.347         | 0.44  | 100  | 0.2634          | 65.1158 | 48.282  | 63.708  | 63.7424   | 1401169536.0 |
+| 0.2412        | 0.88  | 200  | 0.3167          | 66.0958 | 50.4705 | 65.1041 | 65.1412   | 1401169536.0 |
+| 0.2069        | 1.32  | 300  | 0.2357          | 68.6707 | 53.5945 | 67.3654 | 67.371    | 1401169536.0 |
+| 0.1825        | 1.76  | 400  | 0.3932          | 65.7022 | 51.08   | 64.9927 | 65.0322   | 1401169536.0 |
+| 0.1643        | 2.2   | 500  | 0.2223          | 69.132  | 54.5176 | 67.881  | 67.8987   | 1401169535.0 |
+| 0.1715        | 2.64  | 600  | 0.2227          | 69.2258 | 54.2845 | 68.0181 | 68.0404   | 1401169535.5 |
+| 0.1571        | 3.08  | 700  | 0.2707          | 68.9908 | 54.7777 | 68.1279 | 68.151    | 1401169536.0 |
+| 0.1584        | 3.52  | 800  | 0.2193          | 70.9126 | 56.4866 | 69.6718 | 69.6687   | 1401169535.5 |
+| 0.1565        | 3.96  | 900  | 0.3482          | 68.6691 | 54.8446 | 67.796  | 67.8541   | 1401169536.0 |
+| 0.155         | 4.4   | 1000 | 0.2694          | 69.1457 | 55.1123 | 68.2207 | 68.2543   | 1401169536.0 |
+| 0.1586        | 4.84  | 1100 | 0.2697          | 68.705  | 54.5204 | 67.7709 | 67.7942   | 1401169535.5 |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "t5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "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: "
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0"
+}

model.safetensors

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+size 891644712

runs/Dec22_23-16-17_fc7620b5b97f/events.out.tfevents.1703287004.fc7620b5b97f.42.0

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training_args.bin

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