Training in progress, step 500

README.md

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+---
+license: apache-2.0
+base_model: emilstabil/DanSumT5-baseV_38821V_41166
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: DanSumT5-baseV_38821V_41166V_99300
+  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. -->
+
+# DanSumT5-baseV_38821V_41166V_99300
+
+This model is a fine-tuned version of [emilstabil/DanSumT5-baseV_38821V_41166](https://huggingface.co/emilstabil/DanSumT5-baseV_38821V_41166) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1990
+- Rouge1: 36.0635
+- Rouge2: 12.6612
+- Rougel: 22.0632
+- Rougelsum: 28.8514
+- Gen Len: 125.7597
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| No log        | 1.0   | 232  | 2.1564          | 35.0359 | 12.3281 | 22.0262 | 28.07     | 126.1974 |
+| No log        | 2.0   | 465  | 2.1556          | 35.1832 | 12.0473 | 21.8776 | 28.1858   | 126.4721 |
+| 1.8468        | 3.0   | 697  | 2.1567          | 35.5287 | 12.3174 | 22.3354 | 28.4708   | 126.0987 |
+| 1.8468        | 4.0   | 930  | 2.1524          | 35.5329 | 12.244  | 22.047  | 28.1537   | 126.3863 |
+| 1.7638        | 5.0   | 1162 | 2.1675          | 35.5247 | 12.5574 | 22.5531 | 28.64     | 125.3648 |
+| 1.7638        | 6.0   | 1395 | 2.1637          | 35.4927 | 12.2718 | 22.1521 | 28.5053   | 125.8884 |
+| 1.7082        | 7.0   | 1627 | 2.1771          | 35.7224 | 12.5675 | 22.4379 | 28.6806   | 125.4807 |
+| 1.7082        | 8.0   | 1860 | 2.1809          | 35.4052 | 12.3639 | 22.0898 | 28.0686   | 125.3734 |
+| 1.6599        | 9.0   | 2092 | 2.1828          | 35.3215 | 12.3554 | 22.0962 | 28.1704   | 126.2189 |
+| 1.6599        | 10.0  | 2325 | 2.1852          | 35.2823 | 12.1901 | 21.9675 | 28.1307   | 125.5365 |
+| 1.6125        | 11.0  | 2557 | 2.1903          | 35.198  | 12.051  | 21.901  | 27.819    | 125.3305 |
+| 1.6125        | 12.0  | 2790 | 2.1863          | 35.2787 | 12.0695 | 21.7106 | 28.1589   | 125.6953 |
+| 1.5957        | 13.0  | 3022 | 2.1921          | 35.5594 | 12.4603 | 21.9964 | 28.6257   | 125.97   |
+| 1.5957        | 14.0  | 3255 | 2.2085          | 35.8369 | 12.3539 | 22.0812 | 28.637    | 125.412  |
+| 1.5957        | 15.0  | 3487 | 2.1962          | 35.7638 | 12.5332 | 21.8062 | 28.2834   | 126.3133 |
+| 1.5708        | 16.0  | 3720 | 2.1932          | 35.5401 | 12.3573 | 22.033  | 28.4601   | 125.9614 |
+| 1.5708        | 17.0  | 3952 | 2.1985          | 35.4247 | 12.348  | 21.9465 | 28.2987   | 125.4034 |
+| 1.5644        | 18.0  | 4185 | 2.1987          | 35.4229 | 12.2593 | 21.9969 | 28.2643   | 125.073  |
+| 1.5644        | 19.0  | 4417 | 2.1996          | 35.8265 | 12.5056 | 22.1718 | 28.6138   | 124.9099 |
+| 1.5446        | 19.96 | 4640 | 2.1990          | 36.0635 | 12.6612 | 22.0632 | 28.8514   | 125.7597 |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "emilstabil/DanSumT5-baseV_38821V_41166",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "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,
+  "length_penalty": 5.0,
+  "max_length": 128,
+  "min_length": 9,
+  "model_type": "mt5",
+  "no_repeat_ngram_size": 3,
+  "num_beams": 2,
+  "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,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.1",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "length_penalty": 5.0,
+  "max_length": 128,
+  "min_length": 9,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.1"
+}

pytorch_model.bin

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special_tokens_map.json

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+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

spiece.model

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tokenizer_config.json

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+{
+  "additional_special_tokens": null,
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
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+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
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+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "tokenizer_file": null,
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+}

training_args.bin

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