Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/SmolLM2-1.7B
+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/SmolLM2-1.7B",
+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "k_proj",
+    "up_proj",
+    "v_proj",
+    "gate_proj",
+    "q_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:ffdfa2235d1d8ea8a7b1b1d4529c4c118c8de64cfbadaf75282d13e2a21ebdc8
+size 36220072

last-checkpoint/added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<|PAD_TOKEN|>": 49152
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1202ad1a29107a59c1a86f23a17d007b5ac1857cd587a94207a8f310d1a47949
+size 18764180

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6368ffbaff39970f20140541e39e6604af9902386d5abb90f05154bd04c68169
+size 14960

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7853128e3c071580d6b25d6d39c0fc8dd776b23cf24b0d31f29c04abd4d379b9
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e47edca928ff5f83dbb41b9469c4be4e71c95a627199a80a64aa3ab1a2d2ca96
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1aa17b47a32ba63b196ab73547584b3976019b620024f1fe7dc52c031f409ffa
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,43 @@
+{
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": "�"
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,186 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<repo_name>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<reponame>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "<file_sep>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "6": {
+      "content": "<filename>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "7": {
+      "content": "<gh_stars>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "8": {
+      "content": "<issue_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "9": {
+      "content": "<issue_comment>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "10": {
+      "content": "<issue_closed>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "11": {
+      "content": "<jupyter_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "12": {
+      "content": "<jupyter_text>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "13": {
+      "content": "<jupyter_code>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "14": {
+      "content": "<jupyter_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "15": {
+      "content": "<jupyter_script>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "16": {
+      "content": "<empty_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24211": {
+      "content": "�",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49152": {
+      "content": "<|PAD_TOKEN|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "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": "<|endoftext|>",
+  "model_max_length": 8192,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "�",
+  "vocab_size": 49152
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,633 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.09637393085170462,
+  "eval_steps": 100,
+  "global_step": 400,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.00024093482712926153,
+      "eval_loss": 5.2897210121154785,
+      "eval_runtime": 52.997,
+      "eval_samples_per_second": 131.894,
+      "eval_steps_per_second": 16.492,
+      "step": 1
+    },
+    {
+      "epoch": 0.0012046741356463078,
+      "grad_norm": 1.0848690271377563,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 5.2078,
+      "step": 5
+    },
+    {
+      "epoch": 0.0024093482712926155,
+      "grad_norm": 0.9403343200683594,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 5.204,
+      "step": 10
+    },
+    {
+      "epoch": 0.003614022406938923,
+      "grad_norm": 1.305862545967102,
+      "learning_rate": 5e-05,
+      "loss": 5.2467,
+      "step": 15
+    },
+    {
+      "epoch": 0.004818696542585231,
+      "grad_norm": 1.322456955909729,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 4.9954,
+      "step": 20
+    },
+    {
+      "epoch": 0.006023370678231539,
+      "grad_norm": 1.32424795627594,
+      "learning_rate": 8.333333333333334e-05,
+      "loss": 4.7048,
+      "step": 25
+    },
+    {
+      "epoch": 0.007228044813877846,
+      "grad_norm": 1.7734204530715942,
+      "learning_rate": 0.0001,
+      "loss": 4.2781,
+      "step": 30
+    },
+    {
+      "epoch": 0.008432718949524154,
+      "grad_norm": 1.6442747116088867,
+      "learning_rate": 9.995494831023409e-05,
+      "loss": 3.4232,
+      "step": 35
+    },
+    {
+      "epoch": 0.009637393085170462,
+      "grad_norm": 1.4995731115341187,
+      "learning_rate": 9.981987442712633e-05,
+      "loss": 2.7847,
+      "step": 40
+    },
+    {
+      "epoch": 0.01084206722081677,
+      "grad_norm": 1.3251590728759766,
+      "learning_rate": 9.959502176294383e-05,
+      "loss": 1.9015,
+      "step": 45
+    },
+    {
+      "epoch": 0.012046741356463078,
+      "grad_norm": 1.3444932699203491,
+      "learning_rate": 9.928079551738543e-05,
+      "loss": 1.3271,
+      "step": 50
+    },
+    {
+      "epoch": 0.013251415492109385,
+      "grad_norm": 1.079583764076233,
+      "learning_rate": 9.887776194738432e-05,
+      "loss": 0.8928,
+      "step": 55
+    },
+    {
+      "epoch": 0.014456089627755691,
+      "grad_norm": 1.5913984775543213,
+      "learning_rate": 9.838664734667495e-05,
+      "loss": 0.6982,
+      "step": 60
+    },
+    {
+      "epoch": 0.015660763763402,
+      "grad_norm": 1.5894569158554077,
+      "learning_rate": 9.780833673696254e-05,
+      "loss": 0.5173,
+      "step": 65
+    },
+    {
+      "epoch": 0.01686543789904831,
+      "grad_norm": 1.1450620889663696,
+      "learning_rate": 9.714387227305422e-05,
+      "loss": 0.3779,
+      "step": 70
+    },
+    {
+      "epoch": 0.018070112034694615,
+      "grad_norm": 1.1359564065933228,
+      "learning_rate": 9.639445136482548e-05,
+      "loss": 0.3262,
+      "step": 75
+    },
+    {
+      "epoch": 0.019274786170340924,
+      "grad_norm": 1.096200942993164,
+      "learning_rate": 9.55614245194068e-05,
+      "loss": 0.313,
+      "step": 80
+    },
+    {
+      "epoch": 0.02047946030598723,
+      "grad_norm": 1.1150457859039307,
+      "learning_rate": 9.464629290747842e-05,
+      "loss": 0.2924,
+      "step": 85
+    },
+    {
+      "epoch": 0.02168413444163354,
+      "grad_norm": 0.9334543943405151,
+      "learning_rate": 9.365070565805941e-05,
+      "loss": 0.3151,
+      "step": 90
+    },
+    {
+      "epoch": 0.022888808577279846,
+      "grad_norm": 1.1940410137176514,
+      "learning_rate": 9.257645688666556e-05,
+      "loss": 0.2857,
+      "step": 95
+    },
+    {
+      "epoch": 0.024093482712926155,
+      "grad_norm": 0.8553321361541748,
+      "learning_rate": 9.142548246219212e-05,
+      "loss": 0.3003,
+      "step": 100
+    },
+    {
+      "epoch": 0.024093482712926155,
+      "eval_loss": 0.3034798502922058,
+      "eval_runtime": 53.3681,
+      "eval_samples_per_second": 130.977,
+      "eval_steps_per_second": 16.377,
+      "step": 100
+    },
+    {
+      "epoch": 0.02529815684857246,
+      "grad_norm": 0.9065014719963074,
+      "learning_rate": 9.019985651834703e-05,
+      "loss": 0.312,
+      "step": 105
+    },
+    {
+      "epoch": 0.02650283098421877,
+      "grad_norm": 0.6335747241973877,
+      "learning_rate": 8.890178771592199e-05,
+      "loss": 0.2791,
+      "step": 110
+    },
+    {
+      "epoch": 0.027707505119865077,
+      "grad_norm": 0.6578128933906555,
+      "learning_rate": 8.753361526263621e-05,
+      "loss": 0.2982,
+      "step": 115
+    },
+    {
+      "epoch": 0.028912179255511383,
+      "grad_norm": 0.7035508751869202,
+      "learning_rate": 8.609780469772623e-05,
+      "loss": 0.2783,
+      "step": 120
+    },
+    {
+      "epoch": 0.030116853391157692,
+      "grad_norm": 0.6804089546203613,
+      "learning_rate": 8.459694344887732e-05,
+      "loss": 0.3074,
+      "step": 125
+    },
+    {
+      "epoch": 0.031321527526804,
+      "grad_norm": 0.5222188830375671,
+      "learning_rate": 8.303373616950408e-05,
+      "loss": 0.2691,
+      "step": 130
+    },
+    {
+      "epoch": 0.03252620166245031,
+      "grad_norm": 0.562334418296814,
+      "learning_rate": 8.141099986478212e-05,
+      "loss": 0.2822,
+      "step": 135
+    },
+    {
+      "epoch": 0.03373087579809662,
+      "grad_norm": 0.60301274061203,
+      "learning_rate": 7.973165881521434e-05,
+      "loss": 0.31,
+      "step": 140
+    },
+    {
+      "epoch": 0.03493554993374292,
+      "grad_norm": 0.6837559938430786,
+      "learning_rate": 7.799873930687978e-05,
+      "loss": 0.2665,
+      "step": 145
+    },
+    {
+      "epoch": 0.03614022406938923,
+      "grad_norm": 0.8240361213684082,
+      "learning_rate": 7.621536417786159e-05,
+      "loss": 0.2911,
+      "step": 150
+    },
+    {
+      "epoch": 0.03734489820503554,
+      "grad_norm": 0.6972349286079407,
+      "learning_rate": 7.438474719068173e-05,
+      "loss": 0.2831,
+      "step": 155
+    },
+    {
+      "epoch": 0.03854957234068185,
+      "grad_norm": 0.5488475561141968,
+      "learning_rate": 7.251018724088367e-05,
+      "loss": 0.2925,
+      "step": 160
+    },
+    {
+      "epoch": 0.03975424647632815,
+      "grad_norm": 0.4723394811153412,
+      "learning_rate": 7.059506241219965e-05,
+      "loss": 0.2756,
+      "step": 165
+    },
+    {
+      "epoch": 0.04095892061197446,
+      "grad_norm": 0.679368793964386,
+      "learning_rate": 6.864282388901544e-05,
+      "loss": 0.2656,
+      "step": 170
+    },
+    {
+      "epoch": 0.04216359474762077,
+      "grad_norm": 0.6478915214538574,
+      "learning_rate": 6.665698973710288e-05,
+      "loss": 0.2977,
+      "step": 175
+    },
+    {
+      "epoch": 0.04336826888326708,
+      "grad_norm": 0.7039422988891602,
+      "learning_rate": 6.464113856382752e-05,
+      "loss": 0.2716,
+      "step": 180
+    },
+    {
+      "epoch": 0.04457294301891338,
+      "grad_norm": 0.7704228162765503,
+      "learning_rate": 6.259890306925627e-05,
+      "loss": 0.2817,
+      "step": 185
+    },
+    {
+      "epoch": 0.04577761715455969,
+      "grad_norm": 0.6130190491676331,
+      "learning_rate": 6.0533963499786314e-05,
+      "loss": 0.2648,
+      "step": 190
+    },
+    {
+      "epoch": 0.046982291290206,
+      "grad_norm": 0.7051613926887512,
+      "learning_rate": 5.8450041016092464e-05,
+      "loss": 0.2755,
+      "step": 195
+    },
+    {
+      "epoch": 0.04818696542585231,
+      "grad_norm": 0.517988920211792,
+      "learning_rate": 5.6350890987343944e-05,
+      "loss": 0.2816,
+      "step": 200
+    },
+    {
+      "epoch": 0.04818696542585231,
+      "eval_loss": 0.2893995940685272,
+      "eval_runtime": 53.1802,
+      "eval_samples_per_second": 131.44,
+      "eval_steps_per_second": 16.435,
+      "step": 200
+    },
+    {
+      "epoch": 0.04939163956149861,
+      "grad_norm": 0.6918057203292847,
+      "learning_rate": 5.4240296223775465e-05,
+      "loss": 0.2937,
+      "step": 205
+    },
+    {
+      "epoch": 0.05059631369714492,
+      "grad_norm": 0.8374642729759216,
+      "learning_rate": 5.212206015980742e-05,
+      "loss": 0.2727,
+      "step": 210
+    },
+    {
+      "epoch": 0.05180098783279123,
+      "grad_norm": 0.49216243624687195,
+      "learning_rate": 5e-05,
+      "loss": 0.2739,
+      "step": 215
+    },
+    {
+      "epoch": 0.05300566196843754,
+      "grad_norm": 0.6589741706848145,
+      "learning_rate": 4.78779398401926e-05,
+      "loss": 0.2759,
+      "step": 220
+    },
+    {
+      "epoch": 0.054210336104083844,
+      "grad_norm": 0.4761958718299866,
+      "learning_rate": 4.575970377622456e-05,
+      "loss": 0.2809,
+      "step": 225
+    },
+    {
+      "epoch": 0.05541501023973015,
+      "grad_norm": 0.37343281507492065,
+      "learning_rate": 4.364910901265606e-05,
+      "loss": 0.2614,
+      "step": 230
+    },
+    {
+      "epoch": 0.05661968437537646,
+      "grad_norm": 0.5136386752128601,
+      "learning_rate": 4.1549958983907555e-05,
+      "loss": 0.2538,
+      "step": 235
+    },
+    {
+      "epoch": 0.057824358511022765,
+      "grad_norm": 0.5993496775627136,
+      "learning_rate": 3.94660365002137e-05,
+      "loss": 0.2833,
+      "step": 240
+    },
+    {
+      "epoch": 0.059029032646669075,
+      "grad_norm": 0.47118353843688965,
+      "learning_rate": 3.740109693074375e-05,
+      "loss": 0.2765,
+      "step": 245
+    },
+    {
+      "epoch": 0.060233706782315384,
+      "grad_norm": 0.39654070138931274,
+      "learning_rate": 3.5358861436172485e-05,
+      "loss": 0.2778,
+      "step": 250
+    },
+    {
+      "epoch": 0.061438380917961694,
+      "grad_norm": 0.4230641722679138,
+      "learning_rate": 3.334301026289712e-05,
+      "loss": 0.2804,
+      "step": 255
+    },
+    {
+      "epoch": 0.062643055053608,
+      "grad_norm": 0.6153284311294556,
+      "learning_rate": 3.135717611098458e-05,
+      "loss": 0.2728,
+      "step": 260
+    },
+    {
+      "epoch": 0.06384772918925431,
+      "grad_norm": 0.362914502620697,
+      "learning_rate": 2.9404937587800375e-05,
+      "loss": 0.2678,
+      "step": 265
+    },
+    {
+      "epoch": 0.06505240332490062,
+      "grad_norm": 0.4850432574748993,
+      "learning_rate": 2.748981275911633e-05,
+      "loss": 0.2645,
+      "step": 270
+    },
+    {
+      "epoch": 0.06625707746054692,
+      "grad_norm": 0.5871238112449646,
+      "learning_rate": 2.5615252809318284e-05,
+      "loss": 0.2548,
+      "step": 275
+    },
+    {
+      "epoch": 0.06746175159619323,
+      "grad_norm": 0.5464058518409729,
+      "learning_rate": 2.3784635822138424e-05,
+      "loss": 0.2674,
+      "step": 280
+    },
+    {
+      "epoch": 0.06866642573183954,
+      "grad_norm": 0.6201205849647522,
+      "learning_rate": 2.2001260693120233e-05,
+      "loss": 0.2812,
+      "step": 285
+    },
+    {
+      "epoch": 0.06987109986748584,
+      "grad_norm": 0.3898628056049347,
+      "learning_rate": 2.026834118478567e-05,
+      "loss": 0.2747,
+      "step": 290
+    },
+    {
+      "epoch": 0.07107577400313216,
+      "grad_norm": 0.5476693511009216,
+      "learning_rate": 1.858900013521788e-05,
+      "loss": 0.262,
+      "step": 295
+    },
+    {
+      "epoch": 0.07228044813877846,
+      "grad_norm": 0.8837735056877136,
+      "learning_rate": 1.6966263830495936e-05,
+      "loss": 0.2725,
+      "step": 300
+    },
+    {
+      "epoch": 0.07228044813877846,
+      "eval_loss": 0.2828783392906189,
+      "eval_runtime": 53.3466,
+      "eval_samples_per_second": 131.03,
+      "eval_steps_per_second": 16.383,
+      "step": 300
+    },
+    {
+      "epoch": 0.07348512227442477,
+      "grad_norm": 0.6191293597221375,
+      "learning_rate": 1.5403056551122697e-05,
+      "loss": 0.2534,
+      "step": 305
+    },
+    {
+      "epoch": 0.07468979641007108,
+      "grad_norm": 0.5668566226959229,
+      "learning_rate": 1.3902195302273779e-05,
+      "loss": 0.2605,
+      "step": 310
+    },
+    {
+      "epoch": 0.07589447054571738,
+      "grad_norm": 0.7406247854232788,
+      "learning_rate": 1.246638473736378e-05,
+      "loss": 0.2719,
+      "step": 315
+    },
+    {
+      "epoch": 0.0770991446813637,
+      "grad_norm": 0.4821166396141052,
+      "learning_rate": 1.1098212284078036e-05,
+      "loss": 0.2556,
+      "step": 320
+    },
+    {
+      "epoch": 0.07830381881701,
+      "grad_norm": 0.24732011556625366,
+      "learning_rate": 9.800143481652979e-06,
+      "loss": 0.2711,
+      "step": 325
+    },
+    {
+      "epoch": 0.0795084929526563,
+      "grad_norm": 0.6188521385192871,
+      "learning_rate": 8.574517537807897e-06,
+      "loss": 0.2649,
+      "step": 330
+    },
+    {
+      "epoch": 0.08071316708830262,
+      "grad_norm": 0.4498525857925415,
+      "learning_rate": 7.423543113334436e-06,
+      "loss": 0.2739,
+      "step": 335
+    },
+    {
+      "epoch": 0.08191784122394892,
+      "grad_norm": 0.3962417244911194,
+      "learning_rate": 6.349294341940593e-06,
+      "loss": 0.2793,
+      "step": 340
+    },
+    {
+      "epoch": 0.08312251535959522,
+      "grad_norm": 0.39472633600234985,
+      "learning_rate": 5.353707092521582e-06,
+      "loss": 0.2764,
+      "step": 345
+    },
+    {
+      "epoch": 0.08432718949524154,
+      "grad_norm": 0.39465591311454773,
+      "learning_rate": 4.43857548059321e-06,
+      "loss": 0.2761,
+      "step": 350
+    },
+    {
+      "epoch": 0.08553186363088784,
+      "grad_norm": 0.44090038537979126,
+      "learning_rate": 3.605548635174533e-06,
+      "loss": 0.2781,
+      "step": 355
+    },
+    {
+      "epoch": 0.08673653776653416,
+      "grad_norm": 0.5822060108184814,
+      "learning_rate": 2.85612772694579e-06,
+      "loss": 0.2697,
+      "step": 360
+    },
+    {
+      "epoch": 0.08794121190218046,
+      "grad_norm": 0.41576147079467773,
+      "learning_rate": 2.191663263037458e-06,
+      "loss": 0.2655,
+      "step": 365
+    },
+    {
+      "epoch": 0.08914588603782676,
+      "grad_norm": 0.4551864564418793,
+      "learning_rate": 1.6133526533250565e-06,
+      "loss": 0.26,
+      "step": 370
+    },
+    {
+      "epoch": 0.09035056017347308,
+      "grad_norm": 0.6066895127296448,
+      "learning_rate": 1.1222380526156928e-06,
+      "loss": 0.2755,
+      "step": 375
+    },
+    {
+      "epoch": 0.09155523430911938,
+      "grad_norm": 0.7577335238456726,
+      "learning_rate": 7.192044826145771e-07,
+      "loss": 0.2671,
+      "step": 380
+    },
+    {
+      "epoch": 0.09275990844476568,
+      "grad_norm": 0.6159568428993225,
+      "learning_rate": 4.049782370561583e-07,
+      "loss": 0.2654,
+      "step": 385
+    },
+    {
+      "epoch": 0.093964582580412,
+      "grad_norm": 0.32610562443733215,
+      "learning_rate": 1.8012557287367392e-07,
+      "loss": 0.2714,
+      "step": 390
+    },
+    {
+      "epoch": 0.0951692567160583,
+      "grad_norm": 0.5694824457168579,
+      "learning_rate": 4.5051689765929214e-08,
+      "loss": 0.2673,
+      "step": 395
+    },
+    {
+      "epoch": 0.09637393085170462,
+      "grad_norm": 0.6154575347900391,
+      "learning_rate": 0.0,
+      "loss": 0.2692,
+      "step": 400
+    },
+    {
+      "epoch": 0.09637393085170462,
+      "eval_loss": 0.2801929712295532,
+      "eval_runtime": 53.5151,
+      "eval_samples_per_second": 130.617,
+      "eval_steps_per_second": 16.332,
+      "step": 400
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 400,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.2815911801480806e+17,
+  "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:ae191e5a90c219232450eb2f371c30c26c333c5e173ffe6500130f1d45836c2d
+size 6712