Pushparaj20/formal

README.md

@@ -0,0 +1,70 @@
+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-base-finetuned
+  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. -->
+
+# t5-base-finetuned
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2147
+- Rouge1: 93.8852
+- Rouge2: 89.4695
+- Rougel: 93.8695
+- Rougelsum: 93.8688
+- Gen Len: 14.2978
+- Accuracy Log Reg: 0.6925
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len | Accuracy Log Reg |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:----------------:|
+| 0.2085        | 1.0   | 2615  | 0.2495          | 93.3405 | 88.4778 | 93.3209 | 93.323    | 14.2937 | 0.6939           |
+| 0.2606        | 2.0   | 5230  | 0.2265          | 93.6458 | 89.0108 | 93.6258 | 93.6262   | 14.2966 | 0.6932           |
+| 0.2473        | 3.0   | 7845  | 0.2192          | 93.8068 | 89.3281 | 93.7908 | 93.7891   | 14.2952 | 0.6919           |
+| 0.2314        | 4.0   | 10460 | 0.2161          | 93.858  | 89.4257 | 93.8453 | 93.8422   | 14.2968 | 0.6935           |
+| 0.2308        | 5.0   | 13075 | 0.2147          | 93.8852 | 89.4695 | 93.8695 | 93.8688   | 14.2978 | 0.6925           |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f5aca5ddc23629aa97be0086ddee5dc3489a80514b23ebde03c4b91310a61a96
+oid sha256:185a45fd66a707095b0258d696979a1c55602489c979f773fbe05dd887908db8
 size 891644712

runs/Apr21_02-00-27_605fddf3e91c/events.out.tfevents.1713671255.605fddf3e91c.34.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:30d2c21162f3469bc5c2b13defcdfa0222510a81eca80f5f508e1bd425b1d555
-size 13524
+oid sha256:7feb32dc6aa5a578cdd808a9df9c519e4cc6e413a8bda2fc05c8865711257b1b
+size 14463