End of training

README.md

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+---
+license: apache-2.0
+base_model: EleutherAI/pythia-410m
+tags:
+- generated_from_trainer
+model-index:
+- name: Malawi-Public-Health-Systems
+  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. -->
+
+# Malawi-Public-Health-Systems
+
+This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.9453
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 400
+- total_train_batch_size: 400
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.1272        | 71.32  | 120  | 3.2478          |
+| 0.1003        | 142.64 | 240  | 3.6082          |
+| 0.1017        | 213.97 | 360  | 3.7057          |
+| 0.1001        | 285.29 | 480  | 3.7969          |
+| 0.0949        | 356.61 | 600  | 3.8484          |
+| 0.0984        | 427.93 | 720  | 3.8783          |
+| 0.0956        | 499.26 | 840  | 3.9172          |
+| 0.0955        | 570.58 | 960  | 3.9453          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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