End of training

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+base_model: google-t5/t5-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: olonok_billsum_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. -->
+
+# olonok_billsum_model
+
+This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Rouge1: 0.1317
+- Rouge2: 0.049
+- Rougel: 0.1073
+- Rougelsum: 0.1075
+- 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 248  | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| No log        | 2.0   | 496  | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| 0.0           | 3.0   | 744  | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| 0.0           | 4.0   | 992  | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| 0.0           | 5.0   | 1240 | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| 0.0           | 6.0   | 1488 | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| 0.0           | 7.0   | 1736 | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| 0.0           | 8.0   | 1984 | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| 0.0           | 9.0   | 2232 | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+| 0.0           | 10.0  | 2480 | nan             | 0.1317 | 0.049  | 0.1073 | 0.1075    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "google/long-t5-local-base",
+  "base_model_name_or_path": "google-t5/t5-large",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q",
-    "v"
+    "v",
+    "q"
   ],
   "task_type": "SEQ_2_SEQ_LM",
   "use_rslora": false

adapter_model.safetensors

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training_args.bin

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