End of training

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: google/flan-t5-base
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: flanT5_base_Task2_Fact_updates
   results: []
@@ -17,11 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6337
-- Accuracy: 0.9102
-- Weighted F1: 0.9102
-- Micro F1: 0.9102
-- Macro F1: 0.9102
+- Loss: 0.5533
 
 ## Model description
 
@@ -40,23 +34,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 1e-05
 - train_batch_size: 1
 - eval_batch_size: 1
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
 - num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|
-| 0.7566        | 1.0   | 5793  | 0.6582          | 0.8785   | 0.8780      | 0.8785   | 0.8782   |
-| 0.6355        | 2.0   | 11586 | 0.4757          | 0.9185   | 0.9185      | 0.9185   | 0.9185   |
-| 0.389         | 3.0   | 17379 | 0.4835          | 0.9144   | 0.9144      | 0.9144   | 0.9144   |
-| 0.3015        | 4.0   | 23172 | 0.5373          | 0.9130   | 0.9130      | 0.9130   | 0.9130   |
-| 0.2124        | 5.0   | 28965 | 0.6337          | 0.9102   | 0.9102      | 0.9102   | 0.9102   |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.6835        | 1.0   | 5793  | 0.8141          |
+| 0.0034        | 2.0   | 11586 | 0.5511          |
+| 0.0003        | 3.0   | 17379 | 0.5200          |
+| 1.3605        | 4.0   | 23172 | 0.5584          |
+| 0.0336        | 5.0   | 28965 | 0.5533          |
 
 
 ### Framework versions

config.json

@@ -12,17 +12,9 @@
   "dropout_rate": 0.1,
   "eos_token_id": 1,
   "feed_forward_proj": "gated-gelu",
-  "id2label": {
-    "0": "0",
-    "1": "1"
-  },
   "initializer_factor": 1.0,
   "is_encoder_decoder": true,
   "is_gated_act": true,
-  "label2id": {
-    "0": 0,
-    "1": 1
-  },
   "layer_norm_epsilon": 1e-06,
   "model_type": "t5",
   "n_positions": 512,

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