End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,55 @@
+---
+license: bigscience-bloom-rail-1.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: bigscience/bloomz-560m
+model-index:
+- name: bloomz-560m_huth_IA3_lr5e-05_bs2_epoch5_wd0.01
+  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. -->
+
+# bloomz-560m_huth_IA3_lr5e-05_bs2_epoch5_wd0.01
+
+This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset.
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.0.1
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_config.json

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+  "auto_mapping": null,
+  "base_model_name_or_path": "bigscience/bloomz-560m",
+  "fan_in_fan_out": false,
+  "feedforward_modules": [
+    "mlp.dense_4h_to_h"
+  ],
+  "inference_mode": true,
+  "init_ia3_weights": true,
+  "modules_to_save": null,
+  "peft_type": "IA3",
+  "revision": null,
+  "target_modules": [
+    "query_key_value",
+    "mlp.dense_4h_to_h"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+  "pad_token": "<pad>",
+  "padding_side": "left",
+  "tokenizer_class": "BloomTokenizer",
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+}

training_args.bin

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