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-knowledge-inoc-concat-v1-2048-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-knowledge-inoc-concat-v1-2048-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: 4.6160
+- Accuracy: 0.2448
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 6.3874        | 0.16  | 100  | 6.4212          | 0.1487   |
+| 5.7088        | 0.32  | 200  | 5.7926          | 0.1725   |
+| 5.4575        | 0.48  | 300  | 5.5160          | 0.1903   |
+| 5.2451        | 0.64  | 400  | 5.3429          | 0.1995   |
+| 5.0954        | 0.8   | 500  | 5.2109          | 0.2059   |
+| 5.0358        | 0.96  | 600  | 5.1068          | 0.2123   |
+| 4.94          | 1.12  | 700  | 5.0321          | 0.2157   |
+| 4.8532        | 1.28  | 800  | 4.9605          | 0.2202   |
+| 4.7602        | 1.44  | 900  | 4.9047          | 0.224    |
+| 4.6965        | 1.6   | 1000 | 4.8526          | 0.2276   |
+| 4.6855        | 1.76  | 1100 | 4.8139          | 0.2300   |
+| 4.6573        | 1.91  | 1200 | 4.7739          | 0.2327   |
+| 4.5968        | 2.07  | 1300 | 4.7451          | 0.2346   |
+| 4.5688        | 2.23  | 1400 | 4.7152          | 0.2370   |
+| 4.5205        | 2.39  | 1500 | 4.6842          | 0.2396   |
+| 4.5369        | 2.55  | 1600 | 4.6598          | 0.2410   |
+| 4.5106        | 2.71  | 1700 | 4.6352          | 0.2433   |
+| 4.4375        | 2.87  | 1800 | 4.6160          | 0.2448   |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.2.0.dev20230907+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": "4.33.1"
+}

model.safetensors

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+oid sha256:a187807ef820365b98d545ab966ead8635ca34bc29f7cd84e090d23fa2b1e4cc
 size 121988328