Delete .ipynb_checkpoints/README-checkpoint.md

.ipynb_checkpoints/README-checkpoint.md

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----
-license: bigcode-openrail-m
-base_model: bigcode/starcoderbase
-tags:
-- generated_from_trainer
-datasets:
-- fals3/methods2test_small
-metrics:
-- accuracy
-model-index:
-- name: output
-  results:
-  - task:
-      name: Causal Language Modeling
-      type: text-generation
-    dataset:
-      name: fals3/methods2test_small fm+fc+c+m+f+t+tc
-      type: fals3/methods2test_small
-      args: fm+fc+c+m+f+t+tc
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5611769226558302
----
-
-<!-- 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. -->
-
-# output
-
-This model is a fine-tuned version of [bigcode/starcoderbase](https://huggingface.co/bigcode/starcoderbase) on the fals3/methods2test_small fm+fc+c+m+f+t+tc dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6457
-- Accuracy: 0.5612
-
-## 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: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 6
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 48
-- total_eval_batch_size: 6
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.41.0.dev0
-- Pytorch 2.2.1+cu118
-- Datasets 2.17.1
-- Tokenizers 0.19.1