Model save

README.md

@@ -3,23 +3,9 @@ license: apache-2.0
 base_model: google/t5-small-lm-adapt
 tags:
 - generated_from_trainer
-datasets:
-- Isotonic/planner_dataset
-metrics:
-- rouge
 model-index:
 - name: plan_t5
-  results:
-  - task:
-      name: Summarization
-      type: summarization
-    dataset:
-      name: Isotonic/planner_dataset
-      type: Isotonic/planner_dataset
-    metrics:
-    - name: Rouge1
-      type: rouge
-      value: 58.1207
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,14 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # plan_t5
 
-This model is a fine-tuned version of [google/t5-small-lm-adapt](https://huggingface.co/google/t5-small-lm-adapt) on the Isotonic/planner_dataset dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.4444
-- Rouge1: 58.1207
-- Rouge2: 24.3398
-- Rougel: 58.1271
-- Rougelsum: 58.1292
-- Gen Len: 7.9747
+This model is a fine-tuned version of [google/t5-small-lm-adapt](https://huggingface.co/google/t5-small-lm-adapt) on an unknown dataset.
 
 ## Model description
 
@@ -60,7 +39,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.2
-- num_epochs: 1.0
+- num_epochs: 5.0
 
 ### Training results
 

generation_config.json

@@ -1,4 +1,5 @@
 {
+  "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:287bd2e5fbbee04ed1f262cfc42e62db928770d61ce8d33412c0eafdd8c7c27b
 size 307867048