End of training

README.md

@@ -0,0 +1,72 @@
+---
+license: apache-2.0
+base_model: google/long-t5-tglobal-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: LongT5-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. -->
+
+# LongT5-Base-NSPCC
+
+This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7756
+- Rouge1: 0.5243
+- Rouge2: 0.242
+- Rougel: 0.3113
+- Rougelsum: 0.3122
+- Gen Len: 331.8511
+
+## 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: 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: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
+| 4.0417        | 0.9947 | 94   | 0.8455          | 0.4707 | 0.1986 | 0.2704 | 0.2718    | 303.4468 |
+| 1.0117        | 2.0    | 189  | 0.8058          | 0.5178 | 0.239  | 0.3066 | 0.3077    | 326.3085 |
+| 0.886         | 2.9947 | 283  | 0.7798          | 0.5085 | 0.2272 | 0.298  | 0.2989    | 348.7979 |
+| 0.805         | 4.0    | 378  | 0.7725          | 0.5194 | 0.2386 | 0.309  | 0.31      | 331.3191 |
+| 0.7724        | 4.9947 | 472  | 0.7749          | 0.5224 | 0.2423 | 0.3133 | 0.3147    | 333.6489 |
+| 0.7514        | 5.9683 | 564  | 0.7756          | 0.5243 | 0.242  | 0.3113 | 0.3122    | 331.8511 |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_new_tokens": 400,
+  "no_repeat_ngram_size": 5,
+  "num_beams": 3,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.1"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6cede992b1abc08f50881636668aba4fa29d72a53cf327d0e4041dc689a83d0d
+oid sha256:42ae5ffb854881f6f876e76fa0f7e12d639e436a0d30dcb1e898aa50b012d721
 size 990386200