add models

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+pytorch_model.bin filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,73 @@
----
-license: apache-2.0
----
+---
+base_model: /data/junxiong/sft/zephyr_0_5_sft_open_not_openhermes_progressive_train_largest_dataset/
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: zephyr_0_5_dpo_open_not_openhermes_progressive_train_largest_dataset_ep3
+  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. -->
+
+# zephyr_0_5_dpo_open_not_openhermes_progressive_train_largest_dataset_ep3
+
+This model is a fine-tuned version of [/data/junxiong/sft/zephyr_0_5_sft_open_not_openhermes_progressive_train_largest_dataset/](https://huggingface.co//data/junxiong/sft/zephyr_0_5_sft_open_not_openhermes_progressive_train_largest_dataset/) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7141
+- Rewards/chosen: -5.3346
+- Rewards/rejected: -8.3118
+- Rewards/accuracies: 0.7891
+- Rewards/margins: 2.9772
+- Logps/rejected: -337.4994
+- Logps/chosen: -304.9619
+- Logits/rejected: -2.7812
+- Logits/chosen: -2.8272
+
+## 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-07
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.1171        | 1.0466 | 2000 | 0.5329          | -1.4521        | -2.9272          | 0.7734             | 1.4750          | -283.6535      | -266.1376    | -2.8897         | -2.9362       |
+| 0.0086        | 2.0931 | 4000 | 0.7141          | -5.3346        | -8.3118          | 0.7891             | 2.9772          | -337.4994      | -304.9619    | -2.7812         | -2.8272       |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

@@ -0,0 +1,22 @@
+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.7541587352752686,
+    "eval_logits/rejected": -2.7098710536956787,
+    "eval_logps/chosen": -318.3198547363281,
+    "eval_logps/rejected": -354.8788757324219,
+    "eval_loss": 0.7910895347595215,
+    "eval_rewards/accuracies": 0.7890625,
+    "eval_rewards/chosen": -6.6703782081604,
+    "eval_rewards/margins": 3.3793439865112305,
+    "eval_rewards/rejected": -10.049721717834473,
+    "eval_runtime": 82.4302,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 24.263,
+    "eval_steps_per_second": 0.388,
+    "total_flos": 0.0,
+    "train_loss": 0.22024025758457094,
+    "train_runtime": 20844.5321,
+    "train_samples": 61134,
+    "train_samples_per_second": 8.799,
+    "train_steps_per_second": 0.275
+}

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
+  "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,
+  "pad_token_id": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configs.yaml

@@ -0,0 +1,13 @@
+mamba_0_5:
+  prompt_template: "zephyr-7b-alpha/prompt.txt"
+  fn_completions: "huggingface_local_completions"
+  completions_kwargs:
+    model_name: "/data/junxiong/sft/zephyr_0_5_dpo_open_not_openhermes_progressive_train_largest_dataset_ep3/"
+    model_kwargs:
+      torch_dtype: 'bfloat16'
+    max_new_tokens: 2048
+    temperature: 0.7
+    top_p: 1.0
+    do_sample: True
+  pretty_name: "Mamba 0 5 From Zephyr 7B Beta"
+  link: "https://huggingface.co/HuggingFaceH4/zephyr-7b-beta"

eval_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.7541587352752686,
+    "eval_logits/rejected": -2.7098710536956787,
+    "eval_logps/chosen": -318.3198547363281,
+    "eval_logps/rejected": -354.8788757324219,
+    "eval_loss": 0.7910895347595215,
+    "eval_rewards/accuracies": 0.7890625,
+    "eval_rewards/chosen": -6.6703782081604,
+    "eval_rewards/margins": 3.3793439865112305,
+    "eval_rewards/rejected": -10.049721717834473,
+    "eval_runtime": 82.4302,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 24.263,
+    "eval_steps_per_second": 0.388
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.41.2"
+}

mamba_config.json

@@ -0,0 +1,30 @@
+{
+    "d_model": 4096,
+    "ssm_cfg": {
+        "expand": 1
+    },
+    "rms_norm_eps": 1e-05,
+    "vocab_size": null,
+    "d_xb": 1024,
+    "intermediate_size": 14336,
+    "hidden_act": "silu",
+    "n_layer": 32,
+    "attn_layers": [
+        1,
+        3,
+        5,
+        7,
+        9,
+        11,
+        13,
+        15,
+        17,
+        19,
+        21,
+        23,
+        25,
+        27,
+        29,
+        31
+    ]
+}

pytorch_model.bin

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special_tokens_map.json

@@ -0,0 +1,35 @@
+{
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,48 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "truncation_side": "left",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 0.0,
+    "train_loss": 0.22024025758457094,
+    "train_runtime": 20844.5321,
+    "train_samples": 61134,
+    "train_samples_per_second": 8.799,
+    "train_steps_per_second": 0.275
+}

training_args.bin

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