AT-Llama-2-7b-chat-Tweet-Sentiment

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Llama-2-7B-Chat-GPTQ
+model-index:
+- name: Tweet_sentiment
+  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. -->
+
+# Tweet_sentiment
+
+This model is a fine-tuned version of [TheBloke/Llama-2-7B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3702
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 5.422         | 0.0457 | 2    | 5.0470          |
+| 4.9414        | 0.0914 | 4    | 4.1810          |
+| 4.0188        | 0.1371 | 6    | 3.4657          |
+| 3.3677        | 0.1829 | 8    | 3.0499          |
+| 2.9535        | 0.2286 | 10   | 2.6861          |
+| 2.6161        | 0.2743 | 12   | 2.3395          |
+| 2.2863        | 0.32   | 14   | 2.1053          |
+| 2.0074        | 0.3657 | 16   | 1.8991          |
+| 1.8586        | 0.4114 | 18   | 1.7303          |
+| 1.6228        | 0.4571 | 20   | 1.5946          |
+| 1.6133        | 0.5029 | 22   | 1.4988          |
+| 1.4484        | 0.5486 | 24   | 1.5005          |
+| 1.4666        | 0.5943 | 26   | 1.4966          |
+| 1.4474        | 0.64   | 28   | 1.4517          |
+| 1.3586        | 0.6857 | 30   | 1.4138          |
+| 1.4181        | 0.7314 | 32   | 1.3979          |
+| 1.4306        | 0.7771 | 34   | 1.3889          |
+| 1.3387        | 0.8229 | 36   | 1.3809          |
+| 1.3072        | 0.8686 | 38   | 1.3747          |
+| 1.4662        | 0.9143 | 40   | 1.3714          |
+| 1.3664        | 0.96   | 42   | 1.3702          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TheBloke/Llama-2-7B-Chat-GPTQ",
+  "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": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 16794200

runs/May11_20-56-19_ebd9bc4e0c63/events.out.tfevents.1715461043.ebd9bc4e0c63.2139.0

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training_args.bin

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