Training in progress, step 10, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/tinyllama
+library_name: peft
+---
+
+# 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. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/tinyllama",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "up_proj",
+    "q_proj",
+    "gate_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8961afb29463b8ca398751767fb3830921f9b625fbf3a7f4897c1231624e279a
+size 50503544

last-checkpoint/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02125d9314af666de81afdab03a6422c6c3c1a005bbd372a0c698a95809899c4
+size 101199994

last-checkpoint/pytorch_model_fsdp.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43a9695dec955d8279dec4f1de9bc8d7d2bbcb2ec8db51e9bd092e5a1af8c4a8
+size 50577394

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8d6a959372d5e0c2ea025dd26c9d0ad2046fce19352056cae8074dcbd0a6fd4
+size 14512

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f68a37892a1b445d21bb35cc10bf7a058a6f9ec8c363f5ed156ff4f49d90fb6
+size 14512

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c188a6a4749e6ca627bb6d536eb7443f499d5b1b88d98a78f9c713443e010d9c
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "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
+  },
+  "pad_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "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
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,183 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.000408797318289592,
+  "eval_steps": 500,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 4.08797318289592e-05,
+      "grad_norm": 10.483839988708496,
+      "learning_rate": 4e-05,
+      "logits/chosen": -3.1669602394104004,
+      "logits/rejected": -3.33298921585083,
+      "logps/chosen": -134.86361694335938,
+      "logps/rejected": -199.166748046875,
+      "loss": 0.6931,
+      "rewards/accuracies": 0.0,
+      "rewards/chosen": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/rejected": 0.0,
+      "step": 1
+    },
+    {
+      "epoch": 8.17594636579184e-05,
+      "grad_norm": 8.49109172821045,
+      "learning_rate": 8e-05,
+      "logits/chosen": -3.3433837890625,
+      "logits/rejected": -3.4348771572113037,
+      "logps/chosen": -146.67230224609375,
+      "logps/rejected": -181.1208953857422,
+      "loss": 0.6931,
+      "rewards/accuracies": 0.0,
+      "rewards/chosen": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/rejected": 0.0,
+      "step": 2
+    },
+    {
+      "epoch": 0.0001226391954868776,
+      "grad_norm": 8.53702449798584,
+      "learning_rate": 0.00012,
+      "logits/chosen": -2.8011622428894043,
+      "logits/rejected": -2.9421980381011963,
+      "logps/chosen": -197.1347198486328,
+      "logps/rejected": -259.0387268066406,
+      "loss": 0.6835,
+      "rewards/accuracies": 0.625,
+      "rewards/chosen": 0.006850528530776501,
+      "rewards/margins": 0.02121877856552601,
+      "rewards/rejected": -0.014368249103426933,
+      "step": 3
+    },
+    {
+      "epoch": 0.0001635189273158368,
+      "grad_norm": 7.710057735443115,
+      "learning_rate": 0.00016,
+      "logits/chosen": -2.9939537048339844,
+      "logits/rejected": -3.057960033416748,
+      "logps/chosen": -209.9278564453125,
+      "logps/rejected": -241.27516174316406,
+      "loss": 0.6498,
+      "rewards/accuracies": 0.875,
+      "rewards/chosen": 0.0202865581959486,
+      "rewards/margins": 0.06261444091796875,
+      "rewards/rejected": -0.0423278845846653,
+      "step": 4
+    },
+    {
+      "epoch": 0.000204398659144796,
+      "grad_norm": 8.30694580078125,
+      "learning_rate": 0.0002,
+      "logits/chosen": -2.485898733139038,
+      "logits/rejected": -2.5756101608276367,
+      "logps/chosen": -196.3690185546875,
+      "logps/rejected": -245.38348388671875,
+      "loss": 0.5294,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.07664766907691956,
+      "rewards/margins": 0.25773870944976807,
+      "rewards/rejected": -0.1810910403728485,
+      "step": 5
+    },
+    {
+      "epoch": 0.0002452783909737552,
+      "grad_norm": 5.597426891326904,
+      "learning_rate": 0.0001992114701314478,
+      "logits/chosen": -3.2536704540252686,
+      "logits/rejected": -3.3813509941101074,
+      "logps/chosen": -178.56787109375,
+      "logps/rejected": -237.85919189453125,
+      "loss": 0.4123,
+      "rewards/accuracies": 0.875,
+      "rewards/chosen": 0.09167547523975372,
+      "rewards/margins": 0.9427707195281982,
+      "rewards/rejected": -0.8510951995849609,
+      "step": 6
+    },
+    {
+      "epoch": 0.0002861581228027144,
+      "grad_norm": 3.5451273918151855,
+      "learning_rate": 0.0001968583161128631,
+      "logits/chosen": -3.1258912086486816,
+      "logits/rejected": -3.264047622680664,
+      "logps/chosen": -189.03936767578125,
+      "logps/rejected": -272.82989501953125,
+      "loss": 0.178,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": -0.06314878165721893,
+      "rewards/margins": 2.835817337036133,
+      "rewards/rejected": -2.898966073989868,
+      "step": 7
+    },
+    {
+      "epoch": 0.0003270378546316736,
+      "grad_norm": 2.021259307861328,
+      "learning_rate": 0.00019297764858882514,
+      "logits/chosen": -2.8166332244873047,
+      "logits/rejected": -2.987668752670288,
+      "logps/chosen": -213.08535766601562,
+      "logps/rejected": -317.9427795410156,
+      "loss": 0.0502,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": -0.8774200677871704,
+      "rewards/margins": 4.812623977661133,
+      "rewards/rejected": -5.690043926239014,
+      "step": 8
+    },
+    {
+      "epoch": 0.0003679175864606328,
+      "grad_norm": 0.7397925853729248,
+      "learning_rate": 0.00018763066800438636,
+      "logits/chosen": -2.3301331996917725,
+      "logits/rejected": -2.4297432899475098,
+      "logps/chosen": -232.1767578125,
+      "logps/rejected": -321.2225036621094,
+      "loss": 0.0543,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": -4.1959381103515625,
+      "rewards/margins": 5.258569240570068,
+      "rewards/rejected": -9.454507827758789,
+      "step": 9
+    },
+    {
+      "epoch": 0.000408797318289592,
+      "grad_norm": 9.091753959655762,
+      "learning_rate": 0.00018090169943749476,
+      "logits/chosen": -2.3975119590759277,
+      "logits/rejected": -2.446319818496704,
+      "logps/chosen": -245.42214965820312,
+      "logps/rejected": -340.8399658203125,
+      "loss": 0.1264,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": -5.950223922729492,
+      "rewards/margins": 5.992376804351807,
+      "rewards/rejected": -11.942601203918457,
+      "step": 10
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 30,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:777c7938a50a2507d2ac1794a122262bff21b7061034b520c767a0124a3ab138
+size 7160