End of training

README.md

@@ -1,10 +1,11 @@
 ---
 license: mit
-base_model: nsi319/legal-led-base-16384
+library_name: peft
 tags:
 - generated_from_trainer
 datasets:
 - joelniklaus/legal_case_document_summarization
+base_model: nsi319/legal-led-base-16384
 model-index:
 - name: results
   results: []
@@ -17,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nsi319/legal-led-base-16384](https://huggingface.co/nsi319/legal-led-base-16384) on the joelniklaus/legal_case_document_summarization dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2570
+- Loss: 2.7401
 
 ## Model description
 
@@ -37,25 +38,27 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 6
-- eval_batch_size: 6
+- train_batch_size: 4
+- eval_batch_size: 4
 - 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: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.2213        | 1.0   | 1283 | 2.3223          |
-| 2.1073        | 2.0   | 2566 | 2.2570          |
+| 3.2           | 1.0   | 1924 | 2.8550          |
+| 3.6193        | 2.0   | 3848 | 2.7593          |
+| 2.7776        | 3.0   | 5772 | 2.7401          |
 
 
 ### Framework versions
 
+- PEFT 0.7.1
 - Transformers 4.36.0
 - Pytorch 2.0.0
 - Datasets 2.1.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0

adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "nsi319/legal-led-base-16384",
+  "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": [
+    "classifier"
+  ],
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value"
+  ],
+  "task_type": "SEQ_2_SEQ_LM"
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
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+oid sha256:cd63a758bba649eb4ed7c10c812b294bbc1ef514da72c6ecf5db68561be79a69
+size 1183408

training_args.bin

@@ -1,3 +1,3 @@
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 size 4219