gpt-neo-125m-finetuned-philosopher_rave_20

README.md

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+---
+license: mit
+base_model: EleutherAI/gpt-neo-125m
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt-neo-125m-finetuned-philosopher_rave_20
+  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. -->
+
+# gpt-neo-125m-finetuned-philosopher_rave_20
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7097
+
+## 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: 3e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 155  | 2.8834          |
+| No log        | 2.0   | 310  | 2.8606          |
+| No log        | 3.0   | 465  | 2.8407          |
+| 2.8695        | 4.0   | 620  | 2.8228          |
+| 2.8695        | 5.0   | 775  | 2.8063          |
+| 2.8695        | 6.0   | 930  | 2.7911          |
+| 2.8122        | 7.0   | 1085 | 2.7772          |
+| 2.8122        | 8.0   | 1240 | 2.7650          |
+| 2.8122        | 9.0   | 1395 | 2.7544          |
+| 2.7613        | 10.0  | 1550 | 2.7454          |
+| 2.7613        | 11.0  | 1705 | 2.7378          |
+| 2.7613        | 12.0  | 1860 | 2.7313          |
+| 2.7397        | 13.0  | 2015 | 2.7258          |
+| 2.7397        | 14.0  | 2170 | 2.7211          |
+| 2.7397        | 15.0  | 2325 | 2.7173          |
+| 2.7397        | 16.0  | 2480 | 2.7143          |
+| 2.7214        | 17.0  | 2635 | 2.7121          |
+| 2.7214        | 18.0  | 2790 | 2.7106          |
+| 2.7214        | 19.0  | 2945 | 2.7098          |
+| 2.7104        | 20.0  | 3100 | 2.7097          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.39.3"
+}

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