update model card README.md

README.md

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+---
+license: creativeml-openrail-m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 6b-jilp
+  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. -->
+
+# 6b-jilp
+
+This model is a fine-tuned version of [PygmalionAI/pygmalion-6b](https://huggingface.co/PygmalionAI/pygmalion-6b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9014
+- Accuracy: 0.1213
+- Entropy: 1.8265
+
+## 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: 1e-05
+- train_batch_size: 12
+- eval_batch_size: 8
+- seed: 99
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Entropy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|
+| 2.5421        | 1.0   | 2815  | 1.9824          | 0.1183   | 2.0945  |
+| 2.426         | 2.0   | 5630  | 1.9443          | 0.1197   | 1.9446  |
+| 2.4504        | 3.0   | 8445  | 1.9248          | 0.1204   | 1.9272  |
+| 2.4573        | 4.0   | 11260 | 1.9102          | 0.1211   | 1.8612  |
+| 2.4421        | 5.0   | 14075 | 1.9014          | 0.1213   | 1.8265  |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 1.13.1
+- Datasets 2.7.1
+- Tokenizers 0.13.3