Model save

README.md

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+---
+base_model: EleutherAI/pythia-31m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: BL-pythia-31m-simpleRW-lite-2048-scratch
+  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. -->
+
+# BL-pythia-31m-simpleRW-lite-2048-scratch
+
+This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.7136
+- Accuracy: 0.2662
+
+## 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: 0.0005
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 80085
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
+- lr_scheduler_type: inverse_sqrt
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 7.0159        | 0.13  | 100  | 7.1022          | 0.1180   |
+| 6.2257        | 0.27  | 200  | 6.3526          | 0.1508   |
+| 5.8611        | 0.4   | 300  | 5.9888          | 0.1735   |
+| 5.5514        | 0.54  | 400  | 5.7552          | 0.1855   |
+| 5.3824        | 0.67  | 500  | 5.5883          | 0.1948   |
+| 5.344         | 0.81  | 600  | 5.4697          | 0.2017   |
+| 5.1925        | 0.94  | 700  | 5.3717          | 0.2073   |
+| 5.0814        | 1.08  | 800  | 5.2932          | 0.2121   |
+| 5.0865        | 1.21  | 900  | 5.2280          | 0.2162   |
+| 4.9602        | 1.35  | 1000 | 5.1672          | 0.2207   |
+| 4.957         | 1.48  | 1100 | 5.1144          | 0.2247   |
+| 4.8489        | 1.62  | 1200 | 5.0617          | 0.2299   |
+| 4.79          | 1.75  | 1300 | 5.0122          | 0.2349   |
+| 4.8005        | 1.89  | 1400 | 4.9637          | 0.2400   |
+| 4.7409        | 2.02  | 1500 | 4.9216          | 0.2448   |
+| 4.6674        | 2.16  | 1600 | 4.8815          | 0.2488   |
+| 4.6729        | 2.29  | 1700 | 4.8475          | 0.2526   |
+| 4.7071        | 2.43  | 1800 | 4.8156          | 0.2555   |
+| 4.4937        | 2.56  | 1900 | 4.7841          | 0.2588   |
+| 4.5153        | 2.7   | 2000 | 4.7573          | 0.2615   |
+| 4.5512        | 2.83  | 2100 | 4.7345          | 0.2637   |
+| 4.5153        | 2.96  | 2200 | 4.7136          | 0.2662   |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.2.0.dev20230915+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.34.0.dev0"
+}

model.safetensors

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+oid sha256:a1433d54f74a04faf58adeed646189eef34554c89c5a6a34d391883f454471af
 size 121988328