Quant for 4.25

README.md

@@ -12,63 +12,69 @@ datasets:
 model-index:
 - name: zephyr-7b-dpo-full
   results: []
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of zephyr-7b-dpo-full
+<!-- 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. -->
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</a> for quantization.
+# zephyr-7b-dpo-full
 
-# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5042
+- Rewards/chosen: -1.0500
+- Rewards/rejected: -2.0480
+- Rewards/accuracies: 0.7539
+- Rewards/margins: 0.9980
+- Logps/rejected: -468.1450
+- Logps/chosen: -368.4135
+- Logits/rejected: 2.3821
+- Logits/chosen: 1.6141
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+## Model description
 
-Original model: https://huggingface.co/alignment-handbook/zephyr-7b-dpo-full
+More information needed
 
-| Branch | Bits | lm_head bits | Size | Description |
-| ----- | ---- | ------- | ------ | ------------ |
-| [8_0](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/8_0) | 8.0 | 8.0 | 9.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/6_5) | 6.5 | 8.0 | 8.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
-| [5_0](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/5_0) | 5.0 | 6.0 | 7.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
-| [4_25](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/4_25) | 4.25 | 6.0 | 6.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
-| [3_5](https://huggingface.co/Bartowski/zephyr-7b-dpo-full-exl2/tree/3_5) | 3.5 | 6.0 | 6.1 GB | Lower quality, only use if you have to. |
+## Intended uses & limitations
 
-All VRAM requirements estimated from 16k context. For 32k context add ~2 GB.
+More information needed
 
-## Download instructions
+## Training and evaluation data
 
-With git:
+More information needed
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/zephyr-7b-dpo-full-exl2 zephyr-7b-dpo-full-exl2-6_5
-```
+## Training procedure
 
-With huggingface hub (credit to TheBloke for instructions):
+### Training hyperparameters
 
-```shell
-pip3 install huggingface-hub
-```
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `zephyr-7b-dpo-full-exl2`:
+### Training results
 
-```shell
-mkdir zephyr-7b-dpo-full-exl2
-huggingface-cli download bartowski/zephyr-7b-dpo-full-exl2 --local-dir zephyr-7b-dpo-full-exl2 --local-dir-use-symlinks False
-```
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5723        | 0.21  | 100  | 0.5851          | -0.4097        | -0.8752          | 0.7031             | 0.4655          | -350.8695      | -304.3812    | -2.3494         | -2.4070       |
+| 0.5084        | 0.42  | 200  | 0.5251          | -0.9116        | -1.7472          | 0.7422             | 0.8355          | -438.0663      | -354.5790    | 1.3918          | 0.9248        |
+| 0.5059        | 0.63  | 300  | 0.5130          | -0.8646        | -1.7542          | 0.75               | 0.8896          | -438.7735      | -349.8758    | 2.0331          | 1.2558        |
+| 0.4853        | 0.84  | 400  | 0.5050          | -1.0929        | -2.1085          | 0.7539             | 1.0156          | -474.1963      | -372.7067    | 2.5922          | 1.8194        |
 
-To download from a different branch, add the `--revision` parameter:
 
-Linux:
+### Framework versions
 
-```shell
-mkdir zephyr-7b-dpo-full-exl2-6_5
-huggingface-cli download bartowski/zephyr-7b-dpo-full-exl2 --revision 6_5 --local-dir zephyr-7b-dpo-full-exl2-6_5 --local-dir-use-symlinks False
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir zephyr-7b-dpo-full-exl2-6.5
-huggingface-cli download bartowski/zephyr-7b-dpo-full-exl2 --revision 6_5 --local-dir zephyr-7b-dpo-full-exl2-6.5 --local-dir-use-symlinks False
-```
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.0

all_results.json

@@ -0,0 +1,21 @@
+{
+    "epoch": 1.0,
+    "eval_logits/chosen": 1.6140714883804321,
+    "eval_logits/rejected": 2.3821487426757812,
+    "eval_logps/chosen": -368.41351318359375,
+    "eval_logps/rejected": -468.14495849609375,
+    "eval_loss": 0.5042223334312439,
+    "eval_rewards/accuracies": 0.75390625,
+    "eval_rewards/chosen": -1.049981713294983,
+    "eval_rewards/margins": 0.9979785680770874,
+    "eval_rewards/rejected": -2.0479602813720703,
+    "eval_runtime": 91.1991,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 21.93,
+    "eval_steps_per_second": 0.351,
+    "train_loss": 0.5379065808890754,
+    "train_runtime": 5396.8094,
+    "train_samples": 61135,
+    "train_samples_per_second": 11.328,
+    "train_steps_per_second": 0.089
+}

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

eval_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 1.0,
+    "eval_logits/chosen": 1.6140714883804321,
+    "eval_logits/rejected": 2.3821487426757812,
+    "eval_logps/chosen": -368.41351318359375,
+    "eval_logps/rejected": -468.14495849609375,
+    "eval_loss": 0.5042223334312439,
+    "eval_rewards/accuracies": 0.75390625,
+    "eval_rewards/chosen": -1.049981713294983,
+    "eval_rewards/margins": 0.9979785680770874,
+    "eval_rewards/rejected": -2.0479602813720703,
+    "eval_runtime": 91.1991,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 21.93,
+    "eval_steps_per_second": 0.351
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.2"
+}

model.safetensors.index.json

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