End of training

README.md

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+---
+license: apache-2.0
+base_model: allenai/led-base-16384
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: LED-Base-NSPCC
+  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. -->
+
+# LED-Base-NSPCC
+
+This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8734
+- Rouge1: 0.4910
+- Rouge2: 0.2207
+- Rougel: 0.2847
+- Rougelsum: 0.2840
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 2.4662        | 0.9947 | 47   | 1.9451          | 0.4528 | 0.1809 | 0.2560 | 0.2558    |
+| 1.6508        | 1.9894 | 94   | 1.8497          | 0.4889 | 0.2146 | 0.2720 | 0.2716    |
+| 1.2549        | 2.9841 | 141  | 1.8268          | 0.4812 | 0.2092 | 0.2756 | 0.2753    |
+| 0.9955        | 3.9788 | 188  | 1.8734          | 0.4910 | 0.2207 | 0.2847 | 0.2840    |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_new_tokens": 400,
+  "no_repeat_ngram_size": 5,
+  "num_beams": 3,
+  "pad_token_id": 1,
+  "transformers_version": "4.40.1"
+}

model.safetensors

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