End of training

README.md

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+---
+library_name: transformers
+base_model: rasyosef/Llama-3.2-400M-Amharic
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Llama-3.2-400M-Amharic-Poems-Stories-V7
+  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. -->
+
+# Llama-3.2-400M-Amharic-Poems-Stories-V7
+
+This model is a fine-tuned version of [rasyosef/Llama-3.2-400M-Amharic](https://huggingface.co/rasyosef/Llama-3.2-400M-Amharic) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0906
+- Model Preparation Time: 0.0031
+
+## 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: 8e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 250
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|
+| 2.7914        | 0.2161 | 500  | 1.8555          | 0.0031                 |
+| 1.5562        | 0.4322 | 1000 | 1.2348          | 0.0031                 |
+| 1.1782        | 0.6484 | 1500 | 1.0413          | 0.0031                 |
+| 1.1022        | 0.8645 | 2000 | 0.9654          | 0.0031                 |
+| 0.8029        | 1.0806 | 2500 | 1.0335          | 0.0031                 |
+| 0.4356        | 1.2967 | 3000 | 0.9861          | 0.0031                 |
+| 0.4407        | 1.5129 | 3500 | 0.9813          | 0.0031                 |
+| 0.4433        | 1.7290 | 4000 | 0.9752          | 0.0031                 |
+| 0.4439        | 1.9451 | 4500 | 0.9300          | 0.0031                 |
+| 0.218         | 2.1612 | 5000 | 1.0673          | 0.0031                 |
+| 0.1549        | 2.3774 | 5500 | 1.0764          | 0.0031                 |
+| 0.1602        | 2.5935 | 6000 | 1.0732          | 0.0031                 |
+| 0.1525        | 2.8096 | 6500 | 1.0654          | 0.0031                 |
+| 0.1473        | 3.0257 | 7000 | 1.0759          | 0.0031                 |
+| 0.0907        | 3.2418 | 7500 | 1.0896          | 0.0031                 |
+| 0.092         | 3.4580 | 8000 | 1.0920          | 0.0031                 |
+| 0.0925        | 3.6741 | 8500 | 1.0912          | 0.0031                 |
+| 0.0972        | 3.8902 | 9000 | 1.0906          | 0.0031                 |
+
+
+### Framework versions
+
+- Transformers 4.45.0
+- Pytorch 2.4.1+cu121
+- Datasets 3.3.2
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 32000,
+  "eos_token_id": 32001,
+  "pad_token_id": 32001,
+  "transformers_version": "4.45.0"
+}

runs/Mar02_00-49-13_455261b74c82/events.out.tfevents.1740888696.455261b74c82.21.1

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+oid sha256:b606045080f0fa9685e65054ef6173d34846dcd5a2b7eaeec93889278ec7858d
+size 425