mamba summarization t10

README.md

@@ -0,0 +1,65 @@
+---
+library_name: peft
+base_model: state-spaces/mamba-130m-hf
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: mamba-summarization-t10
+  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. -->
+
+# mamba-summarization-t10
+
+This model is a fine-tuned version of [state-spaces/mamba-130m-hf](https://huggingface.co/state-spaces/mamba-130m-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9442
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.847         | 0.16  | 20   | 2.9440          |
+| 2.8433        | 0.32  | 40   | 2.9445          |
+| 2.7902        | 0.48  | 60   | 2.9447          |
+| 2.8249        | 0.64  | 80   | 2.9438          |
+| 2.8374        | 0.8   | 100  | 2.9449          |
+| 2.8284        | 0.96  | 120  | 2.9442          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.2
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.19.1