Model save

README.md

@@ -0,0 +1,74 @@
+---
+base_model: EleutherAI/pythia-31m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: BL-pythia-31m-simple_wikipedia_LM-2048
+  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-simple_wikipedia_LM-2048
+
+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: 3.6874
+- Accuracy: 0.4105
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 80085
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 64
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 6.0657        | 0.22  | 100  | 5.6210          | 0.2414   |
+| 5.2447        | 0.45  | 200  | 4.9316          | 0.3054   |
+| 4.8397        | 0.67  | 300  | 4.6011          | 0.3343   |
+| 4.7933        | 0.9   | 400  | 4.3878          | 0.3530   |
+| 4.274         | 1.12  | 500  | 4.2352          | 0.3646   |
+| 4.4867        | 1.35  | 600  | 4.1224          | 0.3723   |
+| 4.3434        | 1.57  | 700  | 4.0282          | 0.3791   |
+| 4.1857        | 1.8   | 800  | 3.9552          | 0.3841   |
+| 4.229         | 2.02  | 900  | 3.8890          | 0.3909   |
+| 3.9189        | 2.25  | 1000 | 3.8301          | 0.3967   |
+| 4.084         | 2.47  | 1100 | 3.7782          | 0.4023   |
+| 3.8965        | 2.7   | 1200 | 3.7302          | 0.4069   |
+| 3.915         | 2.92  | 1300 | 3.6874          | 0.4105   |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.2.0.dev20230907+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.33.1"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e63e446dbf5c778a3b57766d081a1863880744708ab97f8442254608a13ec319
+oid sha256:b5bfa1f45947273b0e07f8ce811b7bd891102dd753463523a747f4a3690e3f78
 size 121988328