End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: model
+  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. -->
+
+# model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0530
+- Rouge1: 78.2421
+- Rouge2: 75.2403
+- Rougel: 78.1859
+- Rougelsum: 78.1938
+- 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: 0.0005
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.0717        | 0.25  | 1000  | 0.0637          | 78.0577 | 74.8304 | 78.018  | 78.0236   | 19.0    |
+| 0.0659        | 0.5   | 2000  | 0.0598          | 78.1871 | 75.0081 | 78.134  | 78.1354   | 19.0    |
+| 0.0624        | 0.75  | 3000  | 0.0576          | 77.9279 | 74.7627 | 77.868  | 77.88     | 19.0    |
+| 0.0597        | 1.01  | 4000  | 0.0563          | 78.1154 | 75.0171 | 78.0426 | 78.0522   | 19.0    |
+| 0.0565        | 1.26  | 5000  | 0.0556          | 78.1454 | 75.0883 | 78.0991 | 78.1097   | 19.0    |
+| 0.0528        | 1.51  | 6000  | 0.0549          | 78.3856 | 75.379  | 78.318  | 78.3263   | 19.0    |
+| 0.0563        | 1.76  | 7000  | 0.0541          | 78.2664 | 75.1877 | 78.1834 | 78.1963   | 19.0    |
+| 0.0535        | 2.01  | 8000  | 0.0540          | 78.1601 | 75.1107 | 78.0957 | 78.1042   | 19.0    |
+| 0.0507        | 2.26  | 9000  | 0.0537          | 78.2119 | 75.137  | 78.1504 | 78.16     | 19.0    |
+| 0.0513        | 2.51  | 10000 | 0.0533          | 78.1715 | 75.1571 | 78.1235 | 78.1272   | 19.0    |
+| 0.052         | 2.76  | 11000 | 0.0530          | 78.2421 | 75.2403 | 78.1859 | 78.1938   | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "t5-small",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 512,
+  "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": 6,
+  "num_heads": 8,
+  "num_layers": 6,
+  "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": "4.34.1",
+  "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": "4.34.1"
+}

pytorch_model.bin

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training_args.bin

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