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README.md

@@ -1,72 +1,10 @@
----
-license: apache-2.0
-library_name: peft
-tags:
-- generated_from_trainer
-base_model: google/mT5-large
-model-index:
-- name: mT5-large-trimmed_deplain-apa_trial9
-  results: []
----
+# TRAINING ARGS:
+{'per_device_train_batch_size': 16,
+ 'warmup_ratio': 0.1,
+ 'num_train_epochs': 1}
 
-<!-- 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. -->
+# OPTIMIZER ARGS:
+{'lr': 0.001, 'eps': (1e-30, 0.001), 'clip_threshold': 1.0, 'decay_rate': 0.0, 'beta1': None, 'weight_decay': 0.0, 'scale_parameter': False, 'relative_step': False, 'warmup_init': False, 'differentiable': False}
 
-# mT5-large-trimmed_deplain-apa_trial9
-
-This model is a fine-tuned version of [google/mT5-large](https://huggingface.co/google/mT5-large) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2086
-
-## 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: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 4.0535        | 0.0750 | 50   | 2.2956          |
-| 1.3526        | 0.1499 | 100  | 1.1170          |
-| 1.0972        | 0.2249 | 150  | 0.6522          |
-| 0.2642        | 0.2999 | 200  | 0.2580          |
-| 0.2088        | 0.3748 | 250  | 0.2415          |
-| 0.2733        | 0.4498 | 300  | 0.2289          |
-| 0.2407        | 0.5247 | 350  | 0.2241          |
-| 0.2713        | 0.5997 | 400  | 0.2175          |
-| 0.2584        | 0.6747 | 450  | 0.2175          |
-| 0.2441        | 0.7496 | 500  | 0.2135          |
-| 0.2081        | 0.8246 | 550  | 0.2125          |
-| 0.223         | 0.8996 | 600  | 0.2096          |
-| 0.2757        | 0.9745 | 650  | 0.2086          |
-
-
-### Framework versions
-
-- PEFT 0.10.0
-- Transformers 4.40.1
-- Pytorch 2.0.1+cu118
-- Datasets 2.19.0
-- Tokenizers 0.19.1
+# DEVICE:
+NVIDIA A100 80GB PCIe