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 +1,79 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: bigscience/mt0-base
+model-index:
+- name: mt0-base_lora_lr5e-05_bs4_epoch20_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. -->
+
+# mt0-base_lora_lr5e-05_bs4_epoch20_wd0.01
+
+This model is a fine-tuned version of [bigscience/mt0-base](https://huggingface.co/bigscience/mt0-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0002
+
+## 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: 4
+- eval_batch_size: 8
+- 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5599        | 1.0   | 157  | 0.2433          |
+| 0.2044        | 2.0   | 314  | 0.0249          |
+| 0.0711        | 3.0   | 471  | 0.0038          |
+| 0.0287        | 4.0   | 628  | 0.0021          |
+| 0.0214        | 5.0   | 785  | 0.0017          |
+| 0.0152        | 6.0   | 942  | 0.0013          |
+| 0.0176        | 7.0   | 1099 | 0.0009          |
+| 0.0146        | 8.0   | 1256 | 0.0006          |
+| 0.0148        | 9.0   | 1413 | 0.0005          |
+| 0.0169        | 10.0  | 1570 | 0.0005          |
+| 0.0073        | 11.0  | 1727 | 0.0004          |
+| 0.0115        | 12.0  | 1884 | 0.0002          |
+| 0.008         | 13.0  | 2041 | 0.0002          |
+| 0.0071        | 14.0  | 2198 | 0.0002          |
+| 0.008         | 15.0  | 2355 | 0.0002          |
+| 0.0058        | 16.0  | 2512 | 0.0002          |
+| 0.0101        | 17.0  | 2669 | 0.0002          |
+| 0.0083        | 18.0  | 2826 | 0.0002          |
+| 0.0096        | 19.0  | 2983 | 0.0002          |
+| 0.0069        | 20.0  | 3140 | 0.0002          |
+
+
+### 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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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "bigscience/mt0-base",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v",
+    "q"
+  ],
+  "task_type": "SEQ_2_SEQ_LM"
+}

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special_tokens_map.json

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tokenizer_config.json

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+}

training_args.bin

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