End of training

README.md

@@ -1,199 +1,84 @@
 ---
-library_name: transformers
-tags: []
+license: mit
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: HuggingFaceH4/zephyr-7b-beta
+model-index:
+- name: ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
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-## Uses
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-### Direct Use
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-## How to Get Started with the Model
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-Use the code below to get started with the model.
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-## Training Details
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-### Training Data
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-### Training Procedure
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-#### Training Hyperparameters
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-#### Speeds, Sizes, Times [optional]
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-## Technical Specifications [optional]
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+<!-- 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. -->
+
+# ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3
+
+This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2700
+
+## 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: 0.0005
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 5
+- total_train_batch_size: 80
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.566         | 2.5   | 5    | 1.3026          |
+| 1.1359        | 5.0   | 10   | 1.2779          |
+| 0.9114        | 7.5   | 15   | 1.3987          |
+| 0.5972        | 10.0  | 20   | 1.4944          |
+| 0.2936        | 12.5  | 25   | 1.8476          |
+| 0.1104        | 15.0  | 30   | 2.1923          |
+| 0.0311        | 17.5  | 35   | 2.5907          |
+| 0.0168        | 20.0  | 40   | 2.7176          |
+| 0.0132        | 22.5  | 45   | 2.8310          |
+| 0.0115        | 25.0  | 50   | 2.9147          |
+| 0.0106        | 27.5  | 55   | 3.0155          |
+| 0.0103        | 30.0  | 60   | 3.1027          |
+| 0.0101        | 32.5  | 65   | 3.1541          |
+| 0.0099        | 35.0  | 70   | 3.1883          |
+| 0.0097        | 37.5  | 75   | 3.2104          |
+| 0.0095        | 40.0  | 80   | 3.2204          |
+| 0.0094        | 42.5  | 85   | 3.2407          |
+| 0.0095        | 45.0  | 90   | 3.2554          |
+| 0.0093        | 47.5  | 95   | 3.2661          |
+| 0.0094        | 50.0  | 100  | 3.2700          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

@@ -0,0 +1,33 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
+  "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": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "o_proj",
+    "up_proj",
+    "down_proj",
+    "v_proj",
+    "k_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 671149168

training_args.bin

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