End of training

README.md

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+---
+base_model: albert/albert-xxlarge-v2
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: albert-xxlarge-v2-Adapters
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dhanishetty-personaluse/huggingface/runs/lnzsi4j8)
+# albert-xxlarge-v2-Adapters
+
+This model is a fine-tuned version of [albert/albert-xxlarge-v2](https://huggingface.co/albert/albert-xxlarge-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5628
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: inverse_sqrt
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.121         | 0.1146 | 50   | 1.0992          |
+| 1.1183        | 0.2292 | 100  | 1.0918          |
+| 1.1155        | 0.3438 | 150  | 1.0899          |
+| 1.0405        | 0.4585 | 200  | 0.9750          |
+| 0.9           | 0.5731 | 250  | 0.9008          |
+| 0.8362        | 0.6877 | 300  | 0.8511          |
+| 0.7714        | 0.8023 | 350  | 0.8039          |
+| 0.7385        | 0.9169 | 400  | 0.7617          |
+| 0.7422        | 1.0315 | 450  | 0.7265          |
+| 0.6513        | 1.1461 | 500  | 0.7158          |
+| 0.7349        | 1.2607 | 550  | 0.6831          |
+| 0.6515        | 1.3754 | 600  | 0.6679          |
+| 0.6054        | 1.4900 | 650  | 0.6465          |
+| 0.6069        | 1.6046 | 700  | 0.6364          |
+| 0.6132        | 1.7192 | 750  | 0.6344          |
+| 0.6195        | 1.8338 | 800  | 0.6366          |
+| 0.6026        | 1.9484 | 850  | 0.6313          |
+| 0.507         | 2.0630 | 900  | 0.5977          |
+| 0.5555        | 2.1777 | 950  | 0.5871          |
+| 0.5855        | 2.2923 | 1000 | 0.5835          |
+| 0.5642        | 2.4069 | 1050 | 0.5956          |
+| 0.5937        | 2.5215 | 1100 | 0.5791          |
+| 0.5763        | 2.6361 | 1150 | 0.5756          |
+| 0.5041        | 2.7507 | 1200 | 0.5729          |
+| 0.5753        | 2.8653 | 1250 | 0.5720          |
+| 0.5546        | 2.9799 | 1300 | 0.5628          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.4
+- Pytorch 2.1.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "albert/albert-xxlarge-v2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.01,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "dense",
+    "key",
+    "query",
+    "value"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 8439356

special_tokens_map.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "[SEP]",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "4": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "eos_token": "[SEP]",
+  "keep_accents": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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